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quantumcomputing/14472_2ed2d1df17fe28a3_12.txt | It’s been years since I did anything that has to do with QM, so I hope I’m not making a fool of myself here, but here goes. When we have two particles, we take the tensor product of their Hilbert spaces as the Hilbert space of the composite system, right? We can look at it the other way too. Start with the big Hilbert ... |
quantumcomputing/34011_f86f793cf9e31867_90.txt | . ")] by the same authors. In this work, they propose two different models of HQC-NN to perform land cover multi-class classification of Sentinel-2 multispectral images. Both hybrid quantum-classical methods exploit quantum computation to perform encoding of the images into the quantum register and feature extraction, ... |
quantumcomputing/27984_2408440712c7ed59_28.txt | For hybrid quantum walks, similar to classical discrete and continuous quantum walks, some factors affect the evolution of the walk, such as the choice of the initial coin state, the number of steps, or the duration of the walk. In Appendix A, we primarily focus on the three-label hybrid quantum walk on a line and inve... |
quantumcomputing/3815_67376b44df69bab4_179.txt | * Fixes a bug in `qml.adjoint` and `qml.ctrl` where the adjoint of operations outside of a `QNode` or a `QuantumTape` could not be obtained. (#1532) * Fixes a bug in `GradientDescentOptimizer` and `NesterovMomentumOptimizer` where a cost function with one trainable parameter and non-trainable parameters raised an error... |
quantumcomputing/34011_74845111e5423cd6_215.txt | The Lunar Terrain Vehicle (LTV) is an unpressurized lunar rover, capable of carrying two crewmembers and equipment during lunar surface exploration traverses. During these traverses, mission operations must protect for a worst-case contingency of an incapacitated crewmember needing emergency return to a safe haven such... |
quantumcomputing/15325_f9f57e706a901d24_56.txt | subscript𝑓insubscript𝑾in⋅subscript𝑓outsubscript𝑾out⋅f\_{\text{in}}(\bm{W}\_{\text{in}},\cdot),f\_{\text{out}}(\bm{W}\_{\text{out}},\cdot)italic\_f start\_POSTSUBSCRIPT in end\_POSTSUBSCRIPT ( bold\_italic\_W start\_POSTSUBSCRIPT in end\_POSTSUBSCRIPT , ⋅ ) , italic\_f start\_POSTSUBSCRIPT out end\_POSTSUBSCRIPT ( b... |
quantumcomputing/d9333d14_117777.txt | - Collins, Graham P. (April 2006). Computing with Quantum Knots (PDF) . Scientific American . - Sarma, Sankar Das; Freedman, Michael; Nayak, Chetan (2005). Topologically Protected Qubits from a Possible Non-Abelian Fractional Quantum Hall State . Physical Review Letters . 94 (16) 166802. arXiv) : cond-mat 0412343 . ... |
quantumcomputing/22108_808db5389f8f8e1e_256.txt | CARDY: How high a degree of precision? BOB: Cardy, you may have heard of standard deviations as a quantitative measure of uncertainties. If the standard deviation, a measure of the uncertainty in the experimental results, is small enough, we can clearly decide between the two sets of predictions and see how well they m... |
quantumcomputing/9904_340504b9f389f966_364.txt | Understanding the behavior of spins coupling across interfaces in the study of spin current generation and transport is a fundamental challenge that is important for spintronics applications. The transfer of spin angular momentum from a ferromagnet into an adjacent normal material as a consequence of the precession of ... |
quantumcomputing/10115_89d726a9f93da8d2_50.txt | It started pretty much the same way it did for anything else; vampires were far from the first to learn the virtues of energy conservation. Shrews and hummingbirds, saddled with tiny bodies and overclocked metabolic engines, would have starved to death overnight if not for the torpor that overtook them at sundown. Coma... |
quantumcomputing/13334_44b7365178791961_395.txt | The NR200P Vision features vented steel construction and striking tempered glass side panels—Cooler Master claims that this headliner has the performance to match its good looks. The Taiwanese hardware manufacturer made some room at their booth for another NR200-series refresh—a NR200P V2 model was presented in black o... |
quantumcomputing/20712_f21f706356b21da2_206.txt | In the 1990s, the constant error carousel and gating were introduced as the central ideas of the Long Short-Term Memory (LSTM). Since then, LSTMs have stood the test of time and contributed to numerous deep learning success stories, in particular they constituted the first Large Language Models (LLMs). However, the adv... |
quantumcomputing/16776_895a10efa5917d6e_88.txt | In this work, we explore the range of validity of the semiclassical approximation of a quantum master equation designed to describe the $c\bar{c}$ dynamics in a quark gluon plasma at various temperatures, in the quantum Brownian regime. We perform a comparative study of various properties, e.g. the charmonia yield, of ... |
quantumcomputing/38735_4268de2ba98204ef_23.txt | We study the important, yet widely overlooked, role of gluons for spin transport with a connection to local parity violation in quark gluon plasmas. We extend the newly developed quantum kinetic theory for relativistic fermions to the case coupled with non-Abelian chromo-electromagnetic fields and employ this formalism... |
quantumcomputing/6e2c113b_10396.txt | For our first AI workshop we will be joined by Dr Lei Clifton, Programme Director of the MSc in Applied Digital Health, Primary Care Department; Dr Bradley Segal, Rhodes Scholar, practising physician and DPhil candidate in Biomedical Engineering, and Gavin Hubbard, Senior Communications Manager with extensive AI experi... |
quantumcomputing/c1f610e0_118382.txt | Furthermore, quantum cryptography offers a unique feature known as quantum key distribution (QKD), which enables secure key exchange between two parties. QKD utilizes the principles of quantum entanglement and superposition to establish a shared secret key that is inherently secure against any interception attempts. ... |
quantumcomputing/1226_184d3f0af3fe5585_176.txt | comment that a QUBO-friendly solution has been found, but it’s yet to be seen if it works at a level that results in advantage over classical computing. Shor’s algorithm uses the capabilities of quantum computers to quickly find the prime factors of very large numbers. Unfortunately for the cybersecurity community, the... |
quantumcomputing/38735_fabe5077e891c005_219.txt | with all other anticommutators vanishing and the collective labels a, a = 1, . . . , M × N . The notation ⎛ ⎞ ψˆ 1 (x) ⎜ ⎟ .. : † (x) ≡ ψˆ † (x) . . . ψˆ † (x) , : Ψ Ψ(x) ≡⎝ (7.172b) ⎠ 1 . MN ψˆM N (x) : † ) and column (Ψ) : vector fields. We assume that is used for the operator-valued row (Ψ the many-body quantum ... |
quantumcomputing/16785_8ecc1c53b3b42b31_35.txt | Overall, for each of the qubits Alice and Bob retain, if the qubit was measured by Eve before she sent it to Bob, there will be a 25 percent chance that Bob measures a different bit value than the one Alice sent. Thus, this attack on the quantum channel is bound to introduce a high error rate that Alice and Bob detect ... |
quantumcomputing/4628_f9ab73a74dab0c06_426.txt | Ambros, V. The functions of animal microRNAs. Nature 431, 350–-355 (2004). Bartel, D. P. MicroRNAs: Genomics, biogenesis, mechanism, and function. Cell 116, 281–-297 (2004). He, L. & Hannon, G. J. MicroRNAs: Small RNAs with a big role in gene regulation. Nature Rev. Genet. 5, 522–-531 (2004). Zhao, Y., Samal, E. & Sriv... |
quantumcomputing/27984_1a314d3bd2a9af22_8.txt | Another goal of our approach is to use only Toffoli, Feynman and quantum inverter (Pauli-X rotation) gates. When we encounter equations derived from the flowchart with generalized Toffoli gates, we first decompose them to more primitive gates using the aforementioned Feynman and Toffoli gates. However, such a method re... |
quantumcomputing/14994_bb89c4acbf2bb616_75.txt | Proof. Just as in the sharp version case, this proof is very similar to the proof for arbitrary precision. Once again we use y = 1/2 + ξ − 2ξy as the vertex position and consider a constant δ with 0 < δ < 1/2 − ε so that M fails to obtain f (n) or simulate a wrong computation of M with probability at most δ + ε < 1/... |
quantumcomputing/34793_c0b3a683de3beb91_29.txt | Thanks for the post. I always wondered what a professional computer scientist has to say about the theory since calculating Phi seems to be a CS problem. Now one of the best ones thought about it and immediately found a counterexample. I read interviews of Giulio Tononi in which he mentioned the computational difficult... |
quantumcomputing/3960_96169d905c875778_117.txt | From: Gotham Enterprises Date: Sun, Apr 19, 2020 at 8:02 PM Subject: MFT Position in Berkeley, CA “I would like to invite you to apply for an urgent permanent full time California Licensed MFT psychotherapist position for a Psychiatry & Behavioral Health outpatient office located in the FiDI and Sunset District of Sa... |
quantumcomputing/9904_340504b9f389f966_34.txt | Recent studies have revealed that the iron isotope composition of mid-ocean ridge basalts (MORBs) is +0.1â° richer in heavy Fe (56Fe) relative to chondrites, while basalts from Mars and Vesta have similar Fe isotopic composition as chondrites. Several hypotheses could explain these observations. For instance, iron iso... |
quantumcomputing/1226_889bcb3d28cecf3a_343.txt | An essential overview of quantum information Information, whether inscribed as a mark on a stone tablet or encoded as a magnetic domain on a hard drive, must be stored in a physical object and thus made subject to the laws of physics. Traditionally, information processing such as computation occurred in a framework gov... |
quantumcomputing/16785_8ecc1c53b3b42b31_239.txt | For a given quantum code C, some sets of correctable errors for C are better than others from a practical point of view. As in the classical case, which correctable sets are better depends on which errors are more probable. Because there is a richer class of quantum errors, there is a greater variety of quantum error m... |
quantumcomputing/32894_c65187f488c01dde_324.txt | Predictive coding (PC) is an influential theory in computational neuroscience, which argues that the cortex forms unsupervised world models by implementing a hierarchical process of prediction error minimization. PC networks (PCNs) are trained in two phases. First, neural activities are updated to optimize the network'... |
quantumcomputing/22108_db9c0f2f4b6f960d_350.txt | While working on the concept of space volume absorption, as underlying classical Newtonian gravity, I got the idea to connect de Broglie's idea of an inner frequency to the Hubble constant. The space absorption concept brings gravity conceptually in line with Hubble's space expansion and allows balancing Hubble space v... |
quantumcomputing/1629_3abeac199875c936_661.txt | where the generic ket | ψ ∈ H1 describes the system. Due to the unitarity of Uˆ , we also have ˆ = ψ| Nˆ |ψ , (6.80) 1 = ψ | ψ = ψ|Uˆ † Uˆ |ψ = ψ|aˆ † a|ψ which means that the expectation value of the photon number is equal to unity for an arbitrary state from the specified subset |ψ ∈ H1 . If we expand |ψ b... |
quantumcomputing/13334_db9c0f2f4b6f960d_2661.txt | Three mass dimension quantities have been derived by dimensional analysis by means of fundamental constants – the speed of light in vacuum (c), the gravitational constant (G), the Planck constant (h\_bar) and the Hubble constant (H). The extremely small mass m1 ~ (h\_bar\*H)/c^2 ~ 10^(-33) eV has been identified with t... |
quantumcomputing/36296fe8_122924.txt | Sumeet, Srinivasa Prasannaa V, Bhanu Pratap Das, and Bijaya Kumar Sahoo, Assessing the Precision of Quantum Simulation of Many-Body Effects in Atomic Systems Using the Variational Quantum Eigensolver Algorithm , Quantum Reports 4 2, 173 (2022). |
quantumcomputing/26329_e6eb321e4e9c903b_324.txt | von Meyenn, K. (2010). Eine Entdeckung von ganz außerordentlicher Tragweite: Schrödingers Briefwechsel zur Wellenmechanik und zum Katzenparadoxon. Springer. Miller, A. I. (1996). Insights of genius, imagery and creativity in science and art. Springer. Milnor, J. (2000). The Poincaré conjecture. https://www.claymath.org... |
quantumcomputing/22087_db9c0f2f4b6f960d_728.txt | Three problems in learning knowledge for self-driving vehicles are: how a finite sample of information about driving, N, can yield an ability to deal with the infinity of possible driving situations; the problem of generalising from N without over- or under-generalisation; and how to weed out errors in N. A theory deve... |
quantumcomputing/35883_6acf32c49a1bbe4c_29.txt | The RHS of this expression is strictly decreasing, tending to \(\frac{k\pi }{\sqrt{\varepsilon \alpha }}\) as \(\alpha \) becomes to 1, whereas for \(\alpha \ll 1\) we have \(M\ge \lceil \frac{k\pi }{\varepsilon \sqrt{\alpha }}(1-\frac{\alpha }{2})+(1-\frac{\alpha -\varepsilon }{2})]\rceil = \lceil \frac{2k\pi }{\vare... |
quantumcomputing/34011_a5801def072ec91c_2735.txt | In addition to Dedekind’s definition, there are other acceptable definitions of “infinite set” and “finite set” using set theory. One popular one is to define a finite set as a set onto which a one-to-one function maps the set of all natural numbers that are less than some natural number *n*. That finite set contains *... |
quantumcomputing/32894_74845111e5423cd6_32.txt | The last decade has witnessed a tremendous expansion of surface missions to solid bodies of the Solar System, in particular to the Moon, Mars, asteroids and comets. CNES has been involved in many of those, in cooperation with a varied range of partners. On June 3rd 2024, the DORN instrument developed by the French labo... |
quantumcomputing/15280_ca3752daa9705eee_191.txt | A relation f on a Cartesian product X Y of sets X and Y is a function iff f satisfies for all .x1 ; y1 /; .x2 ; y2 / 2 f; x1 D x2 H) y1 D y2 The symbol H) denotes “implies.” In other words, if the first coordinates are equal, then the second coordinates have to be equal! We could also phrase this as for all x1 ; x2 2... |
quantumcomputing/14816_889bcb3d28cecf3a_111.txt | The observation that concepts from quantum information has generated many alternative indicators of quantum phase transitions hints that quantum phase transitions possess operational significance with respect to the processing of quantum information. Yet, studies on whether such transitions lead to quantum phases that ... |
quantumcomputing/21985_b745cf4a986576b6_345.txt | As quantum technologies advance, they hold the potential to revolutionize global industries, offering unmatched computational power, secure communication, and cutting-edge sensing capabilities. With this rapid evolution comes a surge in demand for proficient quantum professionals, leading Canadian universities to pione... |
quantumcomputing/24212_45e264729078187e_469.txt | ***The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider*** T. Aarrestad, M. Van Beekveld, M. Bona, A. Bovenin, S. Caron, J. Davies, A. De Simone, C. Doglioni, J.M. Duarte, A. Farbin, H. Gupta, L. Hendriks, L. Heinrich, J. Howarth, P. Jawahar,... |
quantumcomputing/16341_16a55bc42dde3474_0.txt | > I would like to argue for a higher grade on the following subproblems: > > (a) I agree that my initial answer for the density matrix of the entire state was incorrect. However, I believe that my approach to the problem was correct, and I demonstrated knowledge of the necessary steps to calculate the reduced density m... |
quantumcomputing/2b544542_115296.txt | Mohannad M. Ibrahim, Hamed Mohammadbagherpoor, Cynthia Rios, Nicholas T. Bronn, and Gregory T. Byrd, Evaluation of Parameterized Quantum Circuits With Cross-Resonance Pulse-Driven Entanglers , IEEE Transactions on Quantum Engineering 3, 1 (2022). |
quantumcomputing/38735_7bf989aafa8e9796_71.txt | Based on structural and fabric analyses at variable scales we investigate the evaporitic gypsum-dominated Comeglians-Paularo shear zone in the Southern Alps (Friuli). It represents the lateral western termination of the brittle Fella-Sava Fault. Missing dehydration products of gypsum and the lack of annealing indicate ... |
quantumcomputing/11875_543aaf591dd6eb2d_76.txt | 3.2 Industrial Loads There are 4 industrial loads, named as sea food industry, ice plant, crab factory and steel industries. These all are located in Visakhapatnam. The two industries sea foods and crab factory are food processing units. Ice plant is manufacturing ice. Steel industry is one of the large manufacturing o... |
quantumcomputing/22108_db9c0f2f4b6f960d_2564.txt | This paper is intended to show the Schrodinger equation, within its structure, allows the manifestation of the wave function collapse within a very natural way of reasoning. In fact, as we will see, nothing new must be inserted to the classical quantum mechanics, viz., only the dialectics of the physical world must be ... |
quantumcomputing/33692_723fd0fbfe5d7a11_276.txt | ``` @inproceedings{poor2023completeness, author = {Poór, Boldizsár and Wang, Quanlong and Shaikh, Razin A. and Yeh, Lia and Yeung, Richie and Coecke, Bob}, title = {{Completeness for arbitrary finite dimensions of ZXW-calculus, a unifying calculus}}, year = {2023}, booktitle = {2023 38th Annual ACM/IEEE Symposium on Lo... |
quantumcomputing/34011_a5801def072ec91c_462.txt | Another debate in the philosophy of time concerns the possibility of time travel and d time-like curves. A certain category of time travel seems to be possible according to general relativity, as it allows for d time curves, that is, d spacetime trajectories that would permit a forward time traveller to return to his p... |
quantumcomputing/5147_a60d4c8d9ed218d4_21.txt | In general, a classification problem can be defined as the task of estimating a label *y* from a *K*-dimensional input vector \({\mathbf {x}}\), where \({\mathbf {x}} \in {\mathcal {X}} \subseteq {\mathbb {R}}^K\) and \(y \in {\mathcal {Y}} = \{{\mathcal {L}}\_1, {\mathcal {L}}\_2, \ldots , {\mathcal {L}}\_{\mathcal {Q... |
quantumcomputing/3815_25e803ea0f816b07_2.txt | The Jupyter notebooks[20] paired with these models serve as essential pedagogical tools for instructors and students alike, and are not merely supplementary appendices. These interactive notebooks allow students to actively explore and reinforce theoretical quantum computing concepts presented in the paper. By working ... |
quantumcomputing/4628_98bc330e6ca89479_82.txt | In some sense, quantum parallelism enables all possible values of the function / to be evaluated simultaneously, even though we apparently only evaluated / once. However, this parallelism is not immediately useful. In our single qubit example, measurement of the state gives only either |0, /(0)) or | 1, /(l))! Similarl... |
quantumcomputing/22087_b59e8b731151dc36_9.txt | Some of the famous works in foundations of quantum mechanics concern quantum nonlocality. Nonlocality was discovered by Bell (see his collected papers in [5")]) and later analysed by many others, including [11")]. This phenomenon can be described as follows: the source produces a physical system, which is divided into ... |
quantumcomputing/34793_bd3d075b77addd35_101.txt | “Of course, this presumes that the metaverse documentarians and builders are as scrupulous and accurate as Ken Burns, Doris Kearns Godwin, Walter Isaacson or Jon Meacham. And what will the soundtrack of the metaverse be? Will we hear the voices of Toni Morrison, Alice Walker, Hannah Arendt or Rebecca West? Because the ... |
quantumcomputing/34011_74845111e5423cd6_40.txt | In February 2024, the Polaris Dawn mission—a privately crewed spaceflight aboard a SpaceX Dragon capsule—launched into an elliptical Earth orbit with an apogee of 1,400 kilometers, marking the furthest distance traveled by a crewed spacecraft since NASA's Apollo missions. During their transit, the crew passed through r... |
quantumcomputing/f49c6ee6_11971.txt | Countries use data localization as a cudgel to force foreign firms to provide easier access to data for surveillance and political purposes and force compliance with censorship requirements. Commonly mixed into this rationale is the specter—both real and imagined—of foreign surveillance as a rationale for data localiza... |
quantumcomputing/8378d71d_11542.txt | Quantum technology utilizes various quantum phenomena, including coherence, squeezing, entanglement, interference, and correlation. It has recently garnered significant attention. There is also a growing interest in exploring the connection between quantum research and biology. Due to the potential applications of quan... |
quantumcomputing/26329_cdd61dafb85483f2_251.txt | E-commerce giant, Amazon has silently placed its cards on the table. Understanding the potential to solve computational problems that are beyond the reach of classical computers by harnessing the laws of quantum mechanics to build more powerful tools for processing information, the cloud computing platform of this e-co... |
quantumcomputing/daa30783_0815.txt | In a loose integration model, classical and quantum hardware are located at different premises and connected through a network interface or via the cloud [65, 84]. The benefit of this approach comes from increased modularity and flexibility. Loose integration allows more straight-forward connection of new quantum resou... |
quantumcomputing/b8a40ba0_7957.txt | Polynomial functions can now be easily encoded into quantum circuits with qml.OutPoly. (#6320) A new template called qml.OutPoly is available, which provides the ability to encode a polynomial function in a quantum circuit. Given a polynomial function \(f(x_1, x_2, \cdots, x_N)\), qml.OutPoly requires: f : a standard P... |
quantumcomputing/17894_a8a638dc956ff973_144.txt | A further application of neural network in the field of state tomography was presented in ref. 376 where local measurements on reduced density matrices (RDMs)436–440 were used to characterize the quantum state. Using the recent approach of measuring RDMs and thereby reconstructing the full state is a convenient alterna... |
quantumcomputing/175_40094682244c3a83_825.txt | Deep Metric Learning (DML) aims to find representations suitable for zero-shot transfer to a priori unknown test distributions. However, common evaluation protocols only test a single, fixed data split in which train and test classes are assigned randomly. More realistic evaluations should consider a broad spectrum of ... |
quantumcomputing/9c29e477_116820.txt | . Given a set of elements in S U ( N ) 𝑆 𝑈 𝑁 SU(N) italic _S italic _U ( italic _N ) that generates a dense subset, then it is possible to find approximations for any element of S U ( N ) 𝑆 𝑈 𝑁 SU(N) italic _S italic _U ( italic _N ) with short sequences of elements of the given set. |
quantumcomputing/38735_ff7da9bf12314062_114.txt | 4.6.4.3 Sources of Anyons In Chap. 1, we saw that anyons are found in two-dimensional spaces, where the quasiparticle excitations are above the ground state. Such systems are in the topological phase when all observable properties are invariant under smooth deformations of the space-time manifold. The topological phase... |
quantumcomputing/7161_28885fa749081821_3.txt | > Dear reader, > > If you're reading this, you've probably already spent some time trying to understand quantum computing. And you've likely already realized how hard it is to to connect the math to real, concrete behavior. > > We believe that the ability to tinker with something makes learning not only more fun, but a... |
quantumcomputing/469efc9e_121458.txt | Short of an ultimate answer, we can at least try to explain why, if you want this or that piece of quantum mechanics, then the rest of the structure is inevitable: why quantum mechanics is an island in theoryspace, as I put it in 2003. |
quantumcomputing/14994_8ecc1c53b3b42b31_7.txt | The phrase quantum computing does not parallel the phrases DNA computing or optical com¬ puting'. these describe the substrate on which computation is done without changing the notion of computation. Classical computers , the ones we all have on our desks, make use of quantum mechanics, but they compute using bits, not... |
quantumcomputing/16776_0d5ba2eb70a7c577_70.txt | Abstract: Deep learning continues to dominate machine learning and has been successful in computer vision, natural language processing, etc. Its impact has now expanded to many research areas in science and engineering. In this talk, I will mainly focus on some recent impacts of deep learning on computational mathemati... |
quantumcomputing/2565_a8a638dc956ff973_212.txt | To summarize, while optimizing the parameters of ReaxFF broadly, there are three major steps involved: (1) use random forest regression to construct ML models and extract important features, (2) locate probable local minima using the k-nearest neighbour algorithm and (3) use grid search optimization to optimize the par... |
quantumcomputing/22087_db9c0f2f4b6f960d_2565.txt | In this paper, we have made an attempt to discuss the role of octonions in superstring theory (i.e. a theory of everything to describe the unification of all four types of forces namely gravitational, electromagnetic, weak and strong) where, we have described the octonion representation of the superstring(SS) theory as... |
quantumcomputing/27984_889bcb3d28cecf3a_296.txt | Every measurement of the population in an uncorrelated ensemble of two-level systems is limited by what is known as the quantum projection noise limit. Here, we present quantum-projection-noise-limited performance of a Ramsey-type interferometer using freely propagating coherent atoms. The experimental setup is based o... |
quantumcomputing/6245_808db5389f8f8e1e_226.txt | CARDY: Does that mean that ar/2 − 1 and ar/2 + 1 are factors of kN? If they are, it would seem that they are factors of N also. Is that right? BOB: The first part of what you said is right. But the second part is not right unless k = 1. Let me give you a simple example with N = 5. We know that 5 and 7 are factors o... |
quantumcomputing/22087_db9c0f2f4b6f960d_203.txt | The advent of elegant theories, such as special relativity and quantum mechanics, ushered modern physics into an era marked by fantasized contemplation of phenomena, a trend that even persists today. In principle, every phenomenon is physical and can be comprehended mechanistically, given access to the necessary inform... |
quantumcomputing/14816_baea7bc0d09df8ad_147.txt | What now confronts us, Frank/Gleiser/Thompson say, is “a strange loop,” where “horizonal consciousness subsumes the world, including our body experienced from within, while embodiment subsumes consciousness, including awareness in its immediate intimacy.” The authors stress that “the primacy of consciousness and the pr... |
quantumcomputing/2fa55466_6652.txt | Optical neural networks(ONNs) are novel types of neural networks designed with optical technology such as optical connection technology, optical device technology, and so on. The idea of optical neural networks is to imitate neural networks by attaching information to optical features utilizing modulation. At the same ... |
quantumcomputing/24212_723fd0fbfe5d7a11_39.txt | ``` @phdthesis{Sutcliffe2025thesis, author = {Sutcliffe, Matthew}, title = {{Novel Methods for Classical Simulation of Quantum Circuits via ZX-Calculus}}, year = {2025}, school = {University of Oxford}, urldate = {2025-08-10}, link = {https://ora.ox.ac.uk/objects/uuid:54d6e7f4-b845-4275-98cd-cf6749530d9b/files/d9s16168... |
quantumcomputing/f99d99a9_8370.txt | As China’s technological prowess grows, U.S. officials worry that China could come to lead and possibly dominate the most economically significant tech industries of the future. This concern is not about China’s unfair practices per se; it is about unfavorable outcomes for U.S. competitiveness. The distinction is often... |
quantumcomputing/25fa0bb1_126298.txt | 3 equiv langle q _ 2 ,q _ 3 rangle,g _ 5 equiv langle q _ 2 ,q _ 1 rangle italic _g start _POSTSUBSCRIPT 0 end _POSTSUBSCRIPT italic _q start _POSTSUBSCRIPT 2 end _POSTSUBSCRIPT , italic _q start _POSTSUBSCRIPT 0 end _POSTSUBSCRIPT , italic _g start _POSTSUBSCRIPT 2 end _POSTSUBSCRIPT italic _q start _POS... |
quantumcomputing/29980_710e358dd9250ef2_12.txt | he testified to the police, the newspapers came and he even wrote a small book reporting the facts and offering explanations that he autographed me. For me who looks at the sky at night, this testimony was important because I know the country and man so I could compare some thing. Everything seemed true in what he desc... |
quantumcomputing/18150_723fd0fbfe5d7a11_453.txt | ``` @article{carette2020colored, author = {Carette, Titouan and Perdrix, Simon}, title = {{Colored props for large scale graphical reasoning}}, year = {2020}, journal = {arXiv preprint arXiv:2007.03564}, urldate = {2020-07-07}, link = {http://arxiv.org/abs/2007.03564}, keywords = {Completeness, Scalable ZX, Category Th... |
quantumcomputing/22108_db9c0f2f4b6f960d_2550.txt | Newton discovered the dynamic law of universal gravity, based on his principles of kinetic physics and Kepler's three laws of planetary motion in the Solar system. However, astronomers observed larger material systems in the universe that are galaxies. If Newton's theory was applicable to galaxies then stars would rota... |
quantumcomputing/98bcfaff_120847.txt | Making use of Dirac's infinitesimal slice required a piling up of many steps - infinitely many of them. Each step required an integration, a summing of algebraic quantities. In Feynman's mind a sequence of multiplications and compounded integrals took form. He considered the coordinates that specify a particle's positi... |
quantumcomputing/38735_c34bd993af49dfce_17.txt | There is no constant stabiliser group when viewing the X3Z3 Floquet code as a subsystem code (in a subsystem code, the stabiliser group is defined as the centre of the gauge group, which, in our case, is generated by all edge operators)13."),18."). Surprisingly, despite this fact, at every time step, there do exist ope... |
quantumcomputing/74454046_6909.txt | Recent techniques that integrate solver layers into Deep Neural Networks (DNNs) have shown promise in bridging a long-standing gap between inductive learning and symbolic reasoning techniques. In this paper we present a set of techniques for integrating Satisfiability Modulo Theories (SMT) solvers into the forward and ... |
quantumcomputing/4693_895a10efa5917d6e_53.txt | We construct a class of wormhole geometries supported by the non-local gravitational self-energy that regularizes the particle and black-hole sectors of spacetime. Using this framework, inspired by T-duality, we show that two entangled particles (or particle-black-hole pairs) naturally source an Einstein-Rosen-type geo... |
quantumcomputing/8729_23e9aeec4fe3bb40_201.txt | 1. **Non-standard Analysis**: A branch of mathematics that rigorously formalizes the intuitive notion of infinitesimals, providing an alternative framework to the standard real number system for calculus. It revisits the classical ideas of Newton and Leibniz, offering new insights into differential and integral calculu... |
quantumcomputing/21985_96cf17561d26f9f6_90.txt | evolution in phase space, while quantum-mechanically the Schrödinger equation determines the unitary evolution of the state in the Schrödinger picture, while the Lie bracket determines the same unitary evolution but in the Heisenberg picture. • The state of the system determines the expectation value of an observable. ... |
quantumcomputing/175_40094682244c3a83_1148.txt | Recent studies have shown that deep reinforcement learning agents are vulnerable to small adversarial perturbations on the agent's inputs, which raises concerns about deploying such agents in the real world. To address this issue, we propose RADIAL-RL, a principled framework to train reinforcement learning agents with ... |
quantumcomputing/2f270916_8853.txt | The modifier inv @ U replaces its gate argument \(U\) with its inverse \(U^\dagger\). This can be computed from gate \(U\) via the following rules The inverse of any gate \(U=U_m U_{m-1} ... U_1\) can be defined recursively by reversing the order of the gates in its definition and replacing each of those with their inv... |
quantumcomputing/bfc70ee9_6448.txt | Diffusion models have recently shown significant potential in solving decision-making problems, particularly in generating behavior plans -- also known as diffusion planning. While numerous studies have demonstrated the impressive performance of diffusion planning, the mechanisms behind the key components of a good dif... |
quantumcomputing/ab9b4a7d_120740.txt | - v - t - e Quantum information science ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ---------------------------------------------------------... |
quantumcomputing/8337_16096e4fa9a74541_59.txt | As part of the effort to measure the performance of quantum computing algorithms, it was necessary to provide a set of benchmarking instances representative of various features of application problems and analysis tools able to synthesize the results in a way that makes them interpretable for users and developers of th... |
quantumcomputing/6186_224976a547f6decb_52.txt | With FTQC codes, as one increases the number of physical qubits used to store a single “logical qubit,” the error rate decreases exponentially. The most popular error-correcting code that can be made fully fault tolerant (meaning that one can exponentially suppress errors in all aspects of the code, including logical o... |
quantumcomputing/2276_c7bdf83bfd935cc1_3.txt | ``` /tmp/ipykernel_5320/327681344.py:1: DeprecationWarning: The class ``qiskit.pulse.channels.Channel`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dy... |
quantumcomputing/10115_59c45b8c77a80942_193.txt | “In regard to human health and wellness, I have no personal experience of digital life making people happier. In the light of current experience of Ukraine, Syria or Turkey, I have doubts about the ability of digital to make people safer. No doubt that predictive technologies and big data applications might reduce cert... |
quantumcomputing/0a48d13c_10241.txt | Presenting Author: Noah Siekierski, Sandia National LaboratoriesContributing Author(s): Stefan Seritan, Timothy Proctor Benchmarking quantum applications is an essential part of tracking progress towards quantum advantage and comparing different quantum devices on real-world problems. However, current application-orien... |
quantumcomputing/24212_b745cf4a986576b6_269.txt | The aim of this study is to find a pathway to evaluate and predict the bioactivity of molecular chemicals using the first principles approaches. The main question is why molecules with similar structures demonstrate distinct bioactivity properties when interacting with bio-organisms? Addressing this question holds sign... |
quantumcomputing/38735_fabe5077e891c005_101.txt | the Lieb–Schultz–Mattis theorem [42]. This was originally proved for one-dimensional models, but has subsequently been applied to quasi-one-dimensional and higherdimensional systems [43, 44]. The theorem shows for a chain of length L that the energy gap between the ground and first excited states vanishes as L → ∞. We k... |
quantumcomputing/34011_a5801def072ec91c_958.txt | Another philosophically interesting feature of the relationship between time and space in relativity theory is that which part of space-time is space and which part is time are not fixed; they are relative to a chosen frame of reference or coordinate system. We humans in our daily lives do not notice this dependence up... |
quantumcomputing/3be4657c_13712.txt | A basis vector 𝔹Hsubscript𝔹𝐻\mathbb{B}_{H}, is defined over a Hilbert space ℍℍ\mathbb{H} as a collection of linearly independent vectors which can span the vector space. Any vector in a vector space can be written as the linear combination of the basic state. The number of elements in the basis vector is equal to th... |
quantumcomputing/22087_69ca229ec5299de3_170.txt | Since the seminal work of Erdos and Renyi the phase transition of the largest components in random graphs became one of the central topics in random graph theory and discrete probability theory. Of particular interest in recent years are random graphs with constraints (e.g. degree distribution, forbidden substructures)... |
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