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quantumcomputing/17677_fe4a47c770475ad2_201.txt | On the other hand, the main benefits of this system are that there will be no risk of infection in the plant system as a result of the regular changes in the environment (Jones 2016")). Vertical and smart farming can be used with soilless farming techniques. Firstly, vertical farming is one of the suitable configuratio... |
quantumcomputing/10115_16a55bc42dde3474_42.txt | A well-known example of these models doing “interpolative generalization” is the following: several years ago when Google trained some very large machine translation models, they noticed that the systems could translate between pairs of languages for which they either gave it no examples at all, or very few (far too fe... |
quantumcomputing/26329_625eee7f27e9a0ab_27.txt | After applying all interactions in UPsubscript𝑈𝑃U\_{P}italic\_U start\_POSTSUBSCRIPT italic\_P end\_POSTSUBSCRIPT, the logical lines are delocalized as depicted in Fig. 5(c). To relocalize them such that the logical lines occur along two neighboring qubits along on a single rail, we measure all qubits in one rail in ... |
quantumcomputing/2565_180819832b759be4_135.txt | form electron-pair bonds with the surrounding carbon atoms in an NV center. The defect thus has one electron pair from the nitrogen atom and three electrons from the surrounding carbon atoms, making a total of five electrons. The defect is therefore uncharged and is called an NV0 center. To obtain a manipulable quantum... |
quantumcomputing/b1162542_10455.txt | Deep neural networks (DNNs) excel on clean images but struggle with corrupted ones. Incorporating specific corruptions into the data augmentation pipeline can improve robustness to those corruptions but may harm performance on clean images and other types of distortion. In this paper, we introduce an alternative approa... |
quantumcomputing/1226_4503ad1eb65e514b_119.txt | Left: in many long-standing models, dark matter emerges as an byproduct of models that address deficiencies in the Standard Model (SM) by extend its matter and/or symmetries. The dark sector program, by contrast, explores the possibility that dark matter is our first glimpse of physics unrelated to the SM and hence neu... |
quantumcomputing/22108_db9c0f2f4b6f960d_1549.txt | As a generalization of Dempster-Shafer theory, the theory of D numbers is a new theoretical framework for uncertainty reasoning. Measuring the uncertainty of knowledge or information represented by D numbers is an unsolved issue in that theory. In this paper, inspired by distance based uncertainty measures for Dempster... |
quantumcomputing/4628_add6c66665defb95_97.txt | Because of DNA appealing features as perfect material, including minuscule size, defined structural repeat and rigidity, programmable DNA-mediated processing is a promising computing paradigm, which employs DNAs as information storing and processing substrates to tackle the computational problems. The massive paralleli... |
quantumcomputing/44702_afb95353be58d856_27.txt | Our analysis begins applying the three models to a single-qubit system coupled to a bath qubit, both initially in its ground states, allowing for analytical solutions. We extend the study to include the three-qubit repetition code and the five-qubit "perfect" code. Generally, we find that fidelity in the Markovian case... |
quantumcomputing/c6be3b96_115500.txt | To put this simply, if we start with the ( ket 000 ) state, then for a balanced function, we will never end up measuring the ( ket 000 ) state. It can be literally anything else, including some bizarre superposition, but the superposition will never include the ( ket 000 ) state as one of its terms. At least one ... |
quantumcomputing/14816_8f631342375c1193_137.txt | The carbon cycle describes the transformations of carbon as it cycles through living organisms and the physical environment. Understanding its rates of change is fundamental to problems ranging from the evolution of life to modern climate change. A key aspect of these problems concerns the rates at which organic detrit... |
quantumcomputing/22108_808db5389f8f8e1e_279.txt | In Eq. (15.36), yx means ordinary multiplication. Note that when we sum over x for a fixed y, the argument of the exponential function changes in steps of i2πy/N. To see what is going on, let’s write this out for the case of N = 8 (a three-qubit system). For typographical simplicity, we will label the states |f (x)⟩ wi... |
quantumcomputing/32894_1996e1986c60b184_279.txt | Predicting disease progression is key to provide stratified patient care and enable good utilization of healthcare resources. The availability of longitudinal images has enabled image-based disease progression prediction. In this work, we propose a framework called DP-GAT to identify regions containing significant biol... |
quantumcomputing/13334_db9c0f2f4b6f960d_2747.txt | The predominant approaches to understanding how quantum theory and General Relativity are related to each other implicitly assume that both theories use the same concept of mass. Given that despite great efforts such approaches have not yet produced a consistent falsifiable quantum theory of gravity, this paper enterta... |
quantumcomputing/92b63d1b_116351.txt | The scalability of neutral atom quantum computing is another major benefit. Atoms are arranged in two-dimensional arrays and manipulated with precision, allowing for the practical construction of large qubit arrays. Optical tweezers, which are focused beams of light, can trap and move individual atoms with high precisi... |
quantumcomputing/22087_db9c0f2f4b6f960d_366.txt | A new cosmological model is proposed that does not require dark energy, yet presents characteristics and trends that are almost comparable to those of the standard model. It differs from the standard model by an "extra path factor" that comes from a central hypothesis and results in an additional distance due to the gr... |
quantumcomputing/22087_723fd0fbfe5d7a11_504.txt | ``` @article{PhasefreeZH2019, author = {van de Wetering, John and Wolffs, Sal}, title = {{Completeness of the Phase-free ZH-calculus}}, year = {2019}, journal = {arXiv preprint arXiv:1904.07545}, urldate = {2019-04-16}, link = {https://arxiv.org/abs/1904.07545}, keywords = {ZH-Calculus, Completeness, Triangle}, abstrac... |
quantumcomputing/29980_27f1e24dd77b392c_10.txt | D-Wave’s annealing systems are now also available through the recently announced ‘Braket’ service by Amazon (a play on ‘ket’ notation in quantum computing). In addition to D-Wave, Amazon Braket also front-ends IonQ and Rigetti quantum services. In should be noted that Jeff Bezos is an early investor in D-Wave (2012)... |
quantumcomputing/9073_303b46c6a5f64744_339.txt | Patterns Applied to All Components Terravis distinguishes between Community API and Solution-Internal API, as shown in Figure 10.1. Because only institutional partners are legally allowed to use Terravis services, no Public API is offered. Parties such as banks and notaries have to register, demonstrate that they are l... |
quantumcomputing/790abdac_118006.txt | The key is that, because quaternions don t commute, multiplying the wavefunction by a global phase can actually matter. And multiplying by a global phase is something that Bob can notice even if Alice does it. |
quantumcomputing/21985_9915b8a334b5d087_1.txt | | Publish Date | Title | Authors | PDF | Code | | --- | --- | --- | --- | --- | | **2025-12-03** | **Closing the problem of which causal structures of up to six total nodes have a classical-quantum gap** | Shashaank Khanna et.al. | 2512.04058 | null | | **2025-12-03** | **Fully quantum theory of strong-field driven tun... |
quantumcomputing/a7e90f47_6830.txt | Current perceptual similarity metrics operate at the level of pixels and patches. These metrics compare images in terms of their low-level colors and textures, but fail to capture mid-level similarities and differences in image layout, object pose, and semantic content. In this paper, we develop a perceptual metric tha... |
quantumcomputing/38735_191a07377e1b70f3_129.txt | In other examples, such as unitary CCZ¯¯𝐶𝐶𝑍\overline{CCZ}over¯ start\_ARG italic\_C italic\_C italic\_Z end\_ARG and T¯¯𝑇\overline{T}over¯ start\_ARG italic\_T end\_ARG protocols, the regions with the Abelian phase are connected to the TQD region via domain walls that are tilted in spacetime. In this case, starti... |
quantumcomputing/22108_db9c0f2f4b6f960d_1313.txt | A universe based on a fully deterministic, Euclidean, 4-torus cellular automaton is presented using a constructive approach. Each cell contains one integer number forming bubble-like patterns propagating at the speed of light, interacting and being reissued constantly. The collective behavior of these integers is conje... |
quantumcomputing/22108_db9c0f2f4b6f960d_2307.txt | FQXi 2014 asks, ‘How should humanity steer the future?' Recalling false obstacles to medical progress in humanity's recent past — eg, impeding Semmelweis (b.1818), McClintock (1902), Marshall (1951) — we reply, ‘Steer by Logic.' Then — with Logic in view and other scientific disciplines in mind — we amplify our answer ... |
quantumcomputing/29922db0_119032.txt | A QCA cell consists of four quantum dots and is located at each corner of a square cell. Two electrons are located on two diagonals due to Coulomb repulsion, and this is expressed as P 1 or P 1 as shown in Figure 2 a,b. These become 1 or 0 in binary operations. Figure 2 c shows the QCA wiring with one input cell ... |
quantumcomputing/9688c97b_10513.txt | Determinantal point processes (DPPs) are random configurations of points with tunable negative dependence. Because sampling is tractable, DPPs are natural candidates for subsampling tasks, such as minibatch selection or coreset construction. A \emph{coreset} is a subset of a (large) training set, such that minimizing a... |
quantumcomputing/defe9c97_7238.txt | The X gate is a π\piπ rotation around the xxx axis of the Bloch sphere. Applying the X gate to ∣0⟩|0\rangle∣0⟩ results in ∣1⟩|1\rangle∣1⟩, and applying the X gate to ∣1⟩|1\rangle∣1⟩ results in ∣0⟩|0\rangle∣0⟩, so it is an operation similar to the classical NOT gate, and is also known as bit flip. The matrix representat... |
quantumcomputing/ae74ef8e_126575.txt | The expectation value A σ displaystyle langle A rangle _ sigma of an observable A is a statistical mean of measured values of the observable. It is this mean, and the distribution of probabilities, that is predicted by physical theories. |
quantumcomputing/32894_e9df209666001648_189.txt | The second difficulty in using the logistic equation has to do with its ability to predict from relatively early measurements the final ceiling. The crucial question is how early can the final ceiling be determined and with what accuracy. Some people claim that before the midpoint no determination of a final level is t... |
quantumcomputing/c53a1b5b_115396.txt | 77 Shikun Zhang, Yang Zhou, Zheng Qin, Rui Li, Chunxiao Du, Zhisong Xiao, and Yongyou Zhang, Machine-learning insights into the entanglement-trainability correlation of parametrized quantum circuits , Physical Review A 111 5, 052403 (2025) . |
quantumcomputing/9339_98bc330e6ca89479_29.txt | A related historical strand contributing to the development of quantum computation and quantum information is the interest, dating to the 1970s, of obtaining complete con¬ trol over single quantum systems. Applications of quantum mechanics prior to the 1970s typically involved a gross level of control over a bulk sampl... |
quantumcomputing/16785_8ecc1c53b3b42b31_46.txt | formalism to discuss multiple-qubit systems. We will try to make this material more concrete by including many examples. Section 3.1 formally describes the difference between the way quantum and classical state spaces combine, the difference between the direct sum of two or more vector spaces and the tensor product of ... |
quantumcomputing/8652_a8fc7655fde86ec1_55.txt | Craig, I agree with all you’ve just said except for one fact: maybe P=NP but in any case we’ll never find the algorithm. Some yet unknown law of physics prevents us from finding the algorithm and from building a quantum computer as well. In fact we’ll never know whether P=NP. The set of algorithms is infinite but this ... |
quantumcomputing/6abe23a9_5369.txt | OK, so how does it all work? I’ve written a 448-page technical exposition (yes, I’ve been busy the past few months!). Another member of our team (Jonathan Gorard) has written two 60-page technical papers. And there’s other material available at the project website. But here I’m going to give a fairly non-technical summ... |
quantumcomputing/22087_69ca229ec5299de3_450.txt | Hot fluid expands. Expansion makes a fluid ``parcel'' lighter, causing it to rise. Cold, dense patches of fluid sink. And there we have the thermally induced motion of a fluid sitting on a hot plate... A longstanding open problem in applied analysis is the scaling of the Nusselt number (with respect to the Rayleigh num... |
quantumcomputing/14994_ba709dfaf74feae6_124.txt | With high probability, the number obtained at the fourth step has always been a non-trivial N divisor. The third step turned out to be a rather difficult step to implement. Here, the minimum r is such that a r ≡ 1 mod N is the a order on N modulo (the r order is the period of the f(x) = a x mod N function). For example... |
quantumcomputing/49a332e8_0331.txt | Author / Uploaded Venkateswaran Kasirajan Fundamentals of Quantum Computing Theory and Practice Fundamentals of Quantum Computing Ven Views 592 Downloads 86 File size 22MB Report DMCA / Copyright |
quantumcomputing/2276_1ad5f900ea6f4094_7.txt | For the most part you don’t notice these differences when you use your computer. Computer designers work very, very hard to make the details of the physical instantiation of the bits invisible not just to the user, but also (often) invisible even to programmers. Many programmers never think about whether a bit is store... |
quantumcomputing/5147_2ed2d1df17fe28a3_363.txt | *– Does the thing need 2n parameters to describe a system with n components?* On the one hand, if we think of the cognitive science results above as just “tests on some unknown systems” imagining that no one told us where the data came from, then we should conclude that the data show a violation of Bell inequalities an... |
quantumcomputing/4628_add6c66665defb95_47.txt | NASA s Marshall Space Flight Center is providing three racks containing regenerative water recovery and oxygen generation systems (WRS and OGS) for flight on the lnternational Space Station s (ISS) Node 3 element. The major assemblies included in these racks are the Water Processor Assembly (WPA), Urine Processor Assem... |
quantumcomputing/f0639870_116847.txt | k E 0 , delimited- subscript 𝑘 𝐸 absent 0 missing-subexpression missing-subexpression missing-subexpression missing-subexpression missing-subexpression missing-subexpression missing-subexpression missing-subexpression missing-subexpression missing-subexpression missing-subexpression missing-subexpression missin... |
quantumcomputing/14994_ba709dfaf74feae6_153.txt | Associate Professor at the Innopolis University, Ph.D. Postdoctoral researcher at the Saint Petersburg Electrotechnical University “LETI,” Russia. Previously, Alexei Petrenko was a Postdoc and a Ph.D. student with the Innopolis University in the group of Professor Sergei Petrenko. Alexei Petrenko prepared the Ph.D. the... |
quantumcomputing/14816_889bcb3d28cecf3a_319.txt | Conventional vector-based simulators for quantum computers are quite limited in the size of the quantum circuits they can handle, due to the worst-case exponential growth of even sparse representations of the full quantum state vector as a function of the number of quantum operations applied. However, this exponential-... |
quantumcomputing/25808_67376b44df69bab4_14.txt | + `print_contents` in favor of `print(obj)` + `observables_in_order` in favor of `observables` + `operations_in_order` in favor of `operations` + `ancestors_in_order` in favor of `ancestors(obj, sort=True)` + `descendants_in_order` in favor of `descendants(obj, sort=True)` * The `QuantumScript.to_openqasm` method has b... |
quantumcomputing/3815_044ff0b8919f225e_5.txt | Currently, the global market value of QAI applications on future quantum computing devices in general is estimated to be about eighteen billion USD by 2030 [148 Enterprise quantum computing market size, , competitive landscape and trend analysis report, by component, deployment mode, technology and application, industr... |
quantumcomputing/22108_db9c0f2f4b6f960d_1764.txt | We use three postulates P1, P2a/b and P3 : Combining P1 and P2a with "Sommerfeld's quantum rules"; correspond to the original quan- tum theory of Hydrogen, which produces the correct relativistic energy levels for atoms (Sommerfeld's and Dirac's theories of matter produces the same energy levels, and Schrodinger's theo... |
quantumcomputing/33692_723fd0fbfe5d7a11_452.txt | ``` @article{kumarbishwas2020parts, author = {Kumar Bishwas, Arit and Mani, Ashish and Palade, Vasile}, title = {{Parts of Speech Tagging in NLP: Runtime Optimization with Quantum Formulation and ZX Calculus}}, year = {2020}, journal = {arXiv preprint arXiv:2007.10328}, urldate = {2020-07-19}, link = {http://arxiv.org/... |
quantumcomputing/22087_e1ef1f358f6bc321_322.txt | Sturm's Theorem is a well-known result in real algebraic geometry that provides a function that computes the number of roots of a univariate polynomial in a semiopen interval. This paper presents a formalization of this theorem in the PVS theorem prover, as well as a decision procedure that s whether a polynomial is al... |
quantumcomputing/2258_ba4096302e7b1742_98.txt | Finally, I examine the flow preservation of the "neighbour unfusion" rule. This rule was used in an optimization procedure for reducing 2-qubit gate count but the authors did not know in what cases this rule preserved gflow which was important for their algorithm to function. Neighbour unfusion is a special case of one... |
quantumcomputing/26329_8294391802b65b74_11.txt | In contrast, the reference model shows a fluctuating trend in BER across varying qubit counts due to the absence of noise-mitigating stages like QFT and IQFT. At 2 qubits, the BER is 9.12%. While the BER decreases slightly to 9.0% at 3 qubits, it fluctuates between 8.75% and 9.3% for qubits 4 to 8, highlighting the sen... |
quantumcomputing/175_40094682244c3a83_812.txt | In recent years, substantial research on the methods for learning Hamiltonian equations has been conducted. Although these approaches are very promising, the commonly used representation of the Hamilton equation uses the generalized momenta, which are generally unknown. Therefore, the training data must be represented ... |
quantumcomputing/4628_578753610752009e_278.txt | Also show that ak = k |ψ(0) . To restate a point we have made before, a knowledge of the system’s stationary states |n and energy levels εn will suffice to describe the system’s time evolution. Now we include the effect of the perturbation HP (t), which might vary with time. As before, we introduce the interpolation ... |
quantumcomputing/3c4d6306_124656.txt | We can now expand out the product Π 1 Π r Pi _1 cdots Pi _r Π 1 Π r using the formulas for these projections to obtain the following expression. |
quantumcomputing/3960_b57ad2f9f3f161df_12.txt | The other thing Smolin writes extensively about, a sort of Origin of Species for the evolution of universes with black holes, gets a bad rap mainly because it is rejected out of hand by other astrophysicists and ‘Intelligent Design’ proponents alike. That’s too bad, because even though most hard core scientists (such a... |
quantumcomputing/22108_db9c0f2f4b6f960d_2082.txt | This article concerns the psychology of the paradoxical Two Envelope Problem. The goal is to find instructive variants of the envelope switching problem that are capable of clear-cut resolution, while still retaining paradoxical features. By relocating the original problem into different contexts involving commutes and... |
quantumcomputing/6245_1ce8550056d5e432_21.txt | Here is an example: In the previous thread Aram challenged me to present a physical situation where my conjectures hold. I proposed the prediction given by the conjecture 1 for Bose-Einstein states created in the laboratory. Matt asserted that while my prediction is correct the phenomenon, described already by Anderson... |
quantumcomputing/27984_889bcb3d28cecf3a_275.txt | Instead of formulating the state space of a quantum field theory over one big Hilbert space, it has been proposed by Kijowski to describe quantum states as projective families of density matrices over a collection of smaller, simpler Hilbert spaces. Beside the physical motivations for this approach, it could help desig... |
quantumcomputing/175_40094682244c3a83_1352.txt | This paper considers stochastic linear bandits with general nonlinear constraints. The objective is to maximize the expected cumulative reward over horizon $T$ subject to a set of constraints in each round $\tau\leq T$. We propose a pessimistic-optimistic algorithm for this problem, which is efficient in two aspects. F... |
quantumcomputing/38735_f1880b42bbb2ebdf_13.txt | This is nice, but how do we prepare these states? Different researchers have come up with different techniques to do this. One of the ideas that is commonly applied is **averaging**. This is based on the observation that the state at thermal equilibrium is a pseudo-pure state up to an error term. This error term can be... |
quantumcomputing/2258_b393da4e2e72ed8a_14.txt | So, when you see the characters 100, what do they mean? Are they the binary representation of the number four, or the decimal representation of the number one hundred? If there’s any doubt, I use a subscript to indicate the number’s base. For example, 1002 is the binary representation of four, and 10010 is the decimal ... |
quantumcomputing/32894_e26caa74eb27f4da_272.txt | Sequential decision-making in high-dimensional continuous action spaces, particularly in stochastic environments, faces significant computational challenges. We explore this challenge in the traditional offline RL setting, where an agent must learn how to make decisions based on data collected through a stochastic beha... |
quantumcomputing/8337_cdd61dafb85483f2_264.txt | A critical issue for algorithms and hardware is scalability. It is easy to demonstrate a solution to a problem on a relatively small scale, but that leaves open the question of how that solution scales to a much larger amount of data and processing power. Quantum computing does have the prospect of scaling better than ... |
quantumcomputing/1226_184d3f0af3fe5585_23.txt | Doing the Math for the Power of Quantum Computing It’s challenging to fully grasp the potential power of quantum computing compared to classical computing because that power is based on quantum mechanical principles. But we can sum it up in just a bit of math. Because the bits in classical computing can hold only one o... |
quantumcomputing/15280_ca3752daa9705eee_79.txt | Soon after BV’s result, Daniel Simon demonstrated the ability to determine the periodicity of a function exponentially faster on a quantum computer compared with a classical one. Let us recall that a function can map two different inputs to the same output but must not map the same input to two different outputs. In ot... |
quantumcomputing/25d0d866_118665.txt | In Fig. 6 we show the overlap probability Ψ0 Φ (T) 2 lvert braket Psi_ 0 Phi(T) rvert 2 versus total evolution time TT for the various one-dimensional Hubbard model Hamiltonians corresponding to the interaction coeffients in Table 1. If we do not count excited states that are translational modes of the ground ... |
quantumcomputing/2258_2ace7211bec9884e_25.txt | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Platform | Type\* | Open-Source | Developer | PL | Standalone-cloud\*\* | Pre-build Algorithm | QML support | Key Features | | QuEST | S | | University of Oxford | C | S | ×\times | ×\times | High-performance simulator, support gene... |
quantumcomputing/2565_a8a638dc956ff973_12.txt | For multiple qubits (say N), the corresponding state space is .49 One can thus define a computational basis using the Kronecker product such as |iA〉 ⊗ |iB〉,…,|iN〉, where the labels (A, B, C... |
quantumcomputing/dbfc7c94_12196.txt | Psychologist Susan Pockett’s electromagnetic field theory of consciousness proposes that “while conscious experiences are identical with certain electromagnetic patterns generated by the brain” have always been acknowledged, it is critical to “specify what might distinguish conscious patterns from non-conscious pattern... |
quantumcomputing/32894_1a8f0330de3b41ea_285.txt | Recent advances in unsupervised deep graph clustering have been significantly promoted by contrastive learning. Despite the strides, most graph contrastive learning models face challenges: 1) graph augmentation is used to improve learning diversity, but commonly used random augmentation methods may destroy inherent sem... |
quantumcomputing/3960_98c38b4b94bcbcbd_57.txt | * 1. Specified to generate pulse-modulated signals having all of the following, anywhere within the synthesized frequency range exceeding 31.8 GHz but not exceeding 37 GHz: + ‘Pulse duration’ of less than 25 ns; **and** + On/off ratio equal to or exceeding 65 dB; * 2. An output power exceeding 100 mW (20 dBm) anywhere ... |
quantumcomputing/32894_c65187f488c01dde_893.txt | Neural Radiance Fields (NeRFs) aim to synthesize novel views of objects and scenes, given the object-centric camera views with large overlaps. However, we conjugate that this paradigm does not fit the nature of the street views that are collected by many self-driving cars from the large-scale unbounded scenes. Also, th... |
quantumcomputing/22087_723fd0fbfe5d7a11_358.txt | Diagrammatic representations of quantum algorithms and circuits offer novel approaches to their design and analysis. In this work, we describe extensions of the ZX-calculus especially suitable for parameterized quantum circuits, in particular for computing observable expectation values as functions of or for fixed para... |
quantumcomputing/22087_723fd0fbfe5d7a11_427.txt | This thesis consists of two parts. The first part is about how quantum theory can be recovered from first principles, while the second part is about the application of diagrammatic reasoning, specifically the ZX-calculus, to practical problems in quantum computing. The main results of the first part include a reconstru... |
quantumcomputing/21985_b745cf4a986576b6_391.txt | Dwarf spheroidal galaxies are ideal candidates for indirect dark matter searches. They are dark matter dominated and usually contain no intrinsic astrophysical sources of gamma ray emission. In order to accurately predict the dark matter annihilation signal from dwarf spheroidal galaxies, it is crucial to correctly mod... |
quantumcomputing/e6de4187_126317.txt | 1. 1. Initial circuit division: The gate sequence C 𝐶 C italic _C will be divided into three parts: C pre , C mid subscript 𝐶 pre subscript 𝐶 mid C _ text pre ,C _ text mid italic _C start _POSTSUBSCRIPT pre end _POSTSUBSCRIPT , italic _C start _POSTSUBSCRIPT mid end _POSTSUBSCRIPT and C post subscript 𝐶 post ... |
quantumcomputing/9ac238df_6152.txt | So when should you use an on-demand simulator instead of the local one? To answer this question, look at SV1, our on-demand state vector simulator. State vector simulators are the workhorse of circuit simulation. They keep a precise representation of the quantum state (the state vector) at every point in the simulation... |
quantumcomputing/e3453e5e_125725.txt | The next piece of the protocol is only implied in the circuit representation above. Having measured her qubits, Alice then sends the classical bits zzz and xxx over to Bob. She can do this however she likes using the internet, or some other classical communication channel. Bob then applies the Pauli XXX gate (i.e., t... |
quantumcomputing/13334_db9c0f2f4b6f960d_1347.txt | Huseyin Yilmaz proposed the form of a theory of gravitation (Yilmaz 1958, 1971) that has later been shown to present only minor conceptual change for Einstein's General Relativity. The primary effect of the change is to modify terms of second order in the gravitational potential or its derivatives. Since most of the we... |
quantumcomputing/4b2d447c_116890.txt | C T r O L U ( θ ) ρ U ( θ ) 𝐶 𝑇 𝑟 delimited- subscript 𝑂 𝐿 𝑈 𝜃 𝜌 superscript 𝑈 𝜃 C Tr O _ L U( theta) rho U dagger ( theta) italic _C italic _T italic _r italic _O start _POSTSUBSCRIPT italic _L end _POSTSUBSCRIPT italic _U ( italic _θ ) italic _ρ italic _U start _POSTSUPERSCR... |
quantumcomputing/3960_96169d905c875778_321.txt | 3. This may sound VERY strange and may conflict with the basic purpose and principles of this website as well as VTAG, and I hesitate to suggest this for obvious reasons, but what we must know is that TMS comes in different types and different frequencies. There are the frequencies to PUMP UP the brain {Typically inten... |
quantumcomputing/32894_1996e1986c60b184_177.txt | The item fairness issue has become one of the significant concerns with the development of recommender systems in recent years, focusing on whether items' exposures are consistent with their utilities. So the measurement of item unfairness depends on the modeling of item utility, and most previous approaches estimated ... |
quantumcomputing/32894_72cabeb6d560b66c_649.txt | Due to the irregular memory access and high bandwidth demanding, graph processing is usually inefficient on conventional computer architectures. The recent development of the processing-in-memory (PIM) technique such as hybrid memory cube (HMC) has provided a feasible design direction for graph processing accelerators.... |
quantumcomputing/3960_96169d905c875778_220.txt | Second, is the rational problem with TMS and the subsequent problem reversing problems generated by it with the same treatment. I have not found any evidence that TMS is even effective in treating depression, anxiety or any other human unpleasantness, so there is little reason to believe the ideas about inhibitory and ... |
quantumcomputing/3773_cdd61dafb85483f2_85.txt | As noted earlier, the basis of quantum computing is the quantum wave function. It represents the complete state of the quantum computer, in terms of probabilities for each of the quantum states. The wave function is what enables superposition and even entanglement. In quantum mechanics and quantum computing we speak of... |
quantumcomputing/c8f8d88e_4936.txt | This example is only an instructional approximation showing how—at the algorithmic and quantum-software level—an “emergency protocol” might be structured to: Generate (or simulate) particles with a controlled phase (i.e., a synthetic neutrino). Imprint that geometric phase inside a fractal cavity (ultra-high Q). Inject... |
quantumcomputing/175_40094682244c3a83_862.txt | Modern kernel-based two-sample tests have shown great success in distinguishing complex, high-dimensional distributions by learning appropriate kernels (or, as a special case, classifiers). Previous work, however, has assumed that many samples are observed from both of the distributions being distinguished. In realisti... |
quantumcomputing/34793_e272bdff51b1eb10_242.txt | World modelling is essential for understanding and predicting the dynamics of complex systems by learning both spatial and temporal dependencies. However, current frameworks, such as Transformers and selective state-space models like Mambas, exhibit limitations in efficiently encoding spatial and temporal structures, p... |
quantumcomputing/3f31aabc_114005.txt | We can follow the same procedure to show that, if ( q _1 q _0 rangle 1 rangle otimes q _0 rangle ) we will get (CX q _1 q _0 rangle 1 rangle otimes X q _0 rangle ) , as expected. |
quantumcomputing/32894_c65187f488c01dde_606.txt | Building systems that achieve a deeper understanding of language is one of the central goals of natural language processing (NLP). Towards this goal, recent works have begun to train language models on narrative datasets which require extracting the most critical information by integrating across long contexts. However... |
quantumcomputing/27984_a6019ccf7080d97d_28.txt | The interactions between chemical, electrical, and mechanical factors in brain tissue are fundamental to brain physiology and pathology. On the one hand, neuronal firing induces changes in the intra- and extracellular ion concentrations. On the other hand, changes in ionic concentrations affect neuronal activity via ch... |
quantumcomputing/b113fdfd_0441.txt | A series of fundamental and practical issues in quantum technologies have been solved recently using analytical techniques. These studies consider benchmark control problems for ideal quantum systems in which some experimental limitations are neglected. Illustrative recent examples are the optimal synthesis of SU(2) op... |
quantumcomputing/b947020d_118258.txt | ( probability of outcome j in path 0 ) ψ B j ψ A 2 sin 2 ( ϕ j 2 ) ( probability of outcome j in path 1 ) ψ B j ψ A 2 cos 2 ( ϕ j 2 ) (44) |
quantumcomputing/24212_3af59b9eb5b88ef2_36.txt | To demonstrate a non-trivial improvement of system performance, it is important to go beyond idle operation of such a code to demonstrate a logical operation between two qubits. A promising way to perform such logical operations at scale is *lattice surgery* [163]: here, two logical qubit patches are stitched together ... |
quantumcomputing/11875_543aaf591dd6eb2d_449.txt | Then, students have to explain the topic. To assess the student’s understandings, test is conducted on 10 marks. The performance of students on the test is shown in Fig. 2. Reflections of the Flipped Class activity—most of the students are not prepared for the activity. For the conduction of this activity, student co-o... |
quantumcomputing/2270_5d069ec7f060495f_26.txt | Article ADS Google Scholar 28. Morvan, A., Villalonga, B., Mi, X., Mandrà, S., Bengtsson, A., Klimov, P., Chen, Z., Hong, S., Erickson, C., Drozdov, I., Chau, J., Laun, G., Movassagh, R., Asfaw, A., Brandão, L., Peralta, R., Abanin, D., Acharya, R., Allen, R., Boixo, S.: “Phase transitions in random circuit sampling,” ... |
quantumcomputing/24212_45e264729078187e_181.txt | Abstract *A major challenge of AI + Science lies in their inherent incompatibility: today's AI is primarily based on connectionism, while science depends on symbolism. To bridge the two worlds, we propose a framework to seamlessly synergize Kolmogorov-Arnold Networks (KANs) and science. The framework highlights KANs' u... |
quantumcomputing/2258_b393da4e2e72ed8a_112.txt | How long does it take to find what you need? After moving from one town to another, you have 64 unlabeled boxes. One of the boxes contains your coffee pot, and you desperately need a cup of coffee. You line up the boxes in no particular order and open the first box in line. No luck. If your coffee pot were in that box,... |
quantumcomputing/4693_34b0ba78ddd01800_195.txt | The technological harnessing of quantum randomness and entanglement shows how we as agents can make use of QM to expand the range of things we can do in the world. Public device-independent quantum randomness, as envisaged by the NIST beacon project, offers a resource for agents who want certified unpredictability, e.g... |
quantumcomputing/5ed871c6_11721.txt | Sparse data structures in compressed-sparse-row (csr) format are now supported end-to-end in PennyLane, resulting in faster execution for large sparse objects. (#6883) (#7139) (#7191) Sparse-array input and execution are now supported on default.qubit and lightning.qubit with a variety of templates, preserving sparsity... |
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