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quantumcomputing/24212_723fd0fbfe5d7a11_139.txt | We propose a generalization of the graphical ZH calculus to qudits of prime-power dimensions \(q = p^t\), implementing field arithmetic in arbitrary finite fields. This is an extension of a previous result by Roy which implemented arithmetic of prime-sized fields; and an alternative to a result by de Beaudrap which ext... |
quantumcomputing/13334_db9c0f2f4b6f960d_633.txt | HM Cancri ist möglicherweise die intensivste Quelle kontinuierlicher GW in unserer Galaxie. Trotz bekannter Frequenz konnte die Strahlung mangels geeigneter Sensoren bisher nicht nachgewiesen werden. Ein neuartiges Verfahrens kann die Phasenmodulation kompensieren und diese CGW in den Aufzeichnungen supraleitender Grav... |
quantumcomputing/9904_7ae05d4adf606362_154.txt | At a fixed point w in G/T , the group T acts on the fiber (Lγ )w of the line bundle Lγ . Therefore, the fiber (Lγ )w is a complex representation of T . Lemma 8. At the fixed point w = xT ∈ WG , the torus T acts on the fiber of the line bundle Lγ as the representation w · γ, i.e., (Lγ )w = Cw·γ . Proof. The fiber of Lγ at a fi... |
quantumcomputing/3815_a8a638dc956ff973_210.txt | Here N is the number of random samples created and j denotes each structure group. The ML model is build by minimizing eqn (128) and (129). At the end of ML training important features are extracted which will be used further during grid search parameter optimization. The second step consists of applying the k-NN algor... |
quantumcomputing/32894_14fa26f6ead9e3fe_0.txt | | ð
Publish Date | ð Title | ð¨âð» Authors | ð PDF | ð» Code | ð¬ Comment | ð Abstract | | --- | --- | --- | --- | --- | --- | --- | | 2025-07-21 | Prediction of linear fractional stable motions using codifference | Matthieu Garcin, Karl Sawaya, Thomas Valade et.al. | 2507.15437 | | | Abstract (... |
quantumcomputing/17894_a8a638dc956ff973_204.txt | Thus the underlying assumptions behind an FF eventually limit the accuracy of the physical insights gained from them. Since conventional FFs do not explicitly model multi-body interactions, polarizations and bond breakings during a chemical reaction make their predictions highly inaccurate. Although there are specially... |
quantumcomputing/2276_cc9832e835b5a6f3_5.txt | * We explore the current state of QML in the context of cyber security anomaly detection, specifically focusing on network traffic. We propose quantum algorithms to improve the detection of anomalies from network traffic information obtained from computer or IoT networks. * We introduce three novel frameworks for anoma... |
quantumcomputing/5147_6e82ebdb9bd61bf8_8.txt | A layer lower is the quantum to classical layer. Because whatever you perform on the quantum level is always an analog phenomenon. Now you say; “analog? I thought we were building a computer? Which should be digital…”. Well, everything up to the micro-architecture is clearly digital, but ultimately what you send down t... |
quantumcomputing/1629_ffec68556b99fa4a_1.txt | We present a general method of folding an integrable spin chain, defined on a line, to obtain an integrable open spin chain, defined on a half-line. We illustrate our method through two fundamental models with sl2 Lie algebra symmetry: the Heisenberg XXX and the Inozemtsev hyperbolic spin chains. We obtain new long-ran... |
quantumcomputing/351217c6_7141.txt | A lot of speculation has been made in the last few years about quantum computation, from the quantum supremacy statement veracity to the feasibility of developing a quantum computer that yields an acceptable error rate. But one thing is certain: quantum computation is not foreseen to take the place of classical computa... |
quantumcomputing/9769_2ed2d1df17fe28a3_17.txt | Alas, thinking through your CNOT example, I’m led to a very different conclusion than you are: namely, that I see no reason why the time-reverse of a causal influence from A to B, should be interpretable as a causal influence from B to A. Suppose, for example, you took a video of rain making grass wet, and then played ... |
quantumcomputing/14816_8f631342375c1193_312.txt | Concentrated suspensions of solid particles in a simple liquid exhibit highly non-Newtonian responses to applied forcing. At rest these suspensions appear liquid-like, but when sheared or impacted they can transition into states of vastly increased viscosity and in some cases even fracture like solids. Over the last fe... |
quantumcomputing/4554_67376b44df69bab4_159.txt | * Fixes a bug where an incorrect number of executions are recorded by a QNode using a custom cache with `diff_method="backprop"`. (#2171) * Fixes a bug where the `default.qubit.jax` device can’t be used with `diff_method=None` and jitting. (#2136) * Fixes a bug where the Torch interface was not properly unwrapping Torc... |
quantumcomputing/22087_81710fa2aa448684_25.txt | Now that we have the probability density function for all four probabilities at π and 2π times, we move on to the Bell state fidelity extraction. For both π and 2π, we perform a Monte Carlo sampling of the beta distribution of *P**r**r*, which then leads to a joint probability density function for *P**g**r*+*r**g* and ... |
quantumcomputing/34011_97a166cde10c3127_2.txt | **Publisher** **Description:** The Encyclopedia of Separation Science is the most comprehensive resource available on the theory, techniques, and applications of separation science. The work presents information on three levels. The first volume contains Level 1, which provides a broad overview of the theory of the 12 ... |
quantumcomputing/4625_ebeb95a89c78f21f_27.txt | In case you thought transcendental numbers are simply mathematical curiosities, without practical purpose, let us examine one that clearly has practical applications. Chaitin’s constant, sometimes called Chaitin’s construction, is essentially the probability that a randomly constructed program will halt. There are actu... |
quantumcomputing/26329_e6eb321e4e9c903b_357.txt | 2.2 The Semantics of the EEG The EEG conveys information about mental activity (Anderson & Sijercic, 1996; Petsche & Etlinger, 1998). In medicine, the EEG is an important tool for diagnosis of brain disorders. There has been an increasing amount of research aimed at the identification of EEG correlates of all sorts of ... |
quantumcomputing/22087_d746540042bdfe6c_61.txt | %\documentclass{article} %\begin{document} \begin{center}SEIBERG--WITTEN EQUATIONS AND PSEUDOHOLOMORPHIC CURVES\\ Armen SERGEEV\end{center} %\address{Steklov Mathematical Institute, Moscow} \bigskip % \maketitle Seiberg--Witten equations (SW-equations for short) were proposed in order to produce a new kind of invariant... |
quantumcomputing/27984_a6019ccf7080d97d_375.txt | Our approach integrates data on cortical architecture, cellular morphologies, and local and cortico-cortical connectivity into a multi-scale framework to predict connection probabilities between neurons based on their types and locations within areas and layers. We represent each cortical area with a 1 mm2area-specific... |
quantumcomputing/17894_a8a638dc956ff973_101.txt | 3.4.3 Projected entangled pair states (PEPSs). PEPS is a generalization of MPS in higher dimensions or for arbitrary graphs.264 It get its name from the way it is constructed. Let a vertex of a graph contain k edges; each edge can be represented by a virtual spin of dimension D (bond dimension). The edges are described... |
quantumcomputing/dde92499_120605.txt | As described above, quantum mechanics states that components of angular momentum measured along any direction can only take a number of discrete values. The most convenient quantum-mechanical description of particle's spin is therefore with a set of complex numbers corresponding to amplitudes of finding a given value o... |
quantumcomputing/e2ff07db_5413.txt | M.S.G wrote the main manuscript text and reviewed the manuscript. |
quantumcomputing/25808_d15b917791bf267d_68.txt | Training convolutional neural networks remains a challenge on resource-limited edge devices due to its intensive computations, large storage requirements, and high bandwidth. Error back-propagation, gradient generation, and weight update usually require high precision to guarantee model accuracy, which places a further... |
quantumcomputing/4628_578753610752009e_99.txt | This method allows Alice to send Bob a secret message over a public channel. But you may have noticed a difficulty. In order for Alice to send the secret message P to Bob, they must already a secret key K of the same length. To send a secret, they must already have d a secret. How did they do that? This is the problem ... |
quantumcomputing/32894_c65187f488c01dde_30.txt | Neurons in the brain are often finely tuned for specific task variables. Moreover, such disentangled representations are highly sought after in machine learning. Here we mathematically prove that simple biological constraints on neurons, namely nonnegativity and energy efficiency in both activity and weights, promote s... |
quantumcomputing/10115_f987ec9455323c9d_295.txt | > GRDB is a production-ready database library for Swift, based on SQLite. > > It provides raw access to SQL and advanced SQLite features, because one sometimes enjoys a sharp tool. It has robust concurrency primitives, so that multi-threaded applications can efficiently use their databases. It grants your application m... |
quantumcomputing/17894_42dd6baf431f5528_37.txt | Going back to the FBQC scheme, there are two types of ‘fusions’: the type II requires the measurement of two photons and the type I, the measurement of one photon, they form type II and type I fusion-gates. Figure 12a represents the two types of fusion gates. The type I consists in detecting one photon only and the typ... |
quantumcomputing/6186_051f5052068d761f_230.txt | A thermal interpretation of the stochastic formalism of a slow-rolling scalar field in a de Sitter (dS) universe is given. We construct a correspondence between causal patches in the 3-dimensional space of a dS universe and particles living in an abstract space. By assuming a dual of scalar fields and classical mechan... |
quantumcomputing/22087_2e8b186cc94af5da_63.txt | Background.âIn 2010, mass vaccination with a then-new meningococcal A polysaccharideâtetanus toxoid protein conjugate vaccine (PsA-TT, or MenAfriVac) was undertaken in 1- to 29-year-olds in Bamako, Mali. Whether vaccination with PsA-TT effectively boosts tetanus immunity in a population with heterogeneous baseline ... |
quantumcomputing/20712_9466736440ea775b_114.txt | Unfortunately all this strange article has done is cherry pick some examples, several of which are highly dubious (Bacon), of “scientifically curious people” who got destroyed for purely theological reasons and, using a decidedly wobbly modern analogy, argue that this meant the Church somehow “accidentally” suppressed ... |
quantumcomputing/9769_889bcb3d28cecf3a_29.txt | This paper addresses foundational issues related to quantum computing. The need for a universally valid theory such as quantum mechanics to describe to some extent its own validation is noted. This includes quantum mechanical s of systems that do theoretical calculations (i.e. quantum computers) and systems that perfor... |
quantumcomputing/14816_184d3f0af3fe5585_155.txt | Using CPUs and GPUs Quantum-inspired solutions running on CPUs and GPUs can be done on a do-it-yourself basis. Many organizations have their own data center, and any organization can get time in a public cloud. All public cloud vendors offer GPUheavy configurations as needed. Working with a vendor can be helpful becaus... |
quantumcomputing/8ba4eeb5_11442.txt | To realize quantum computation one needs to create a system with \(n\) independent binary states (i.e., “qubits”), and be able to manipulate small subsets of two or three of these qubits to change their state. While by the way we defined operations above it might seem that one needs to be able to perform arbitrary unit... |
quantumcomputing/11875_543aaf591dd6eb2d_175.txt | have been used. Similarly, latency aware workload offloading problem (LEAD) [13] have mathematically formulated the problem for minimizing the average response time for mobile users. Also, some literatures propose transmission power allocation of mobile users in conjunction with the computing resource allocation. In co... |
quantumcomputing/24212_67200c89c635639a_67.txt | Along the discovery process, structural biology and biophysical analyses of drug target interactions inform medicinal chemists how to transform an extremely large space of unselective chemical matter into a potent medicine. The established workflows support target proteins which express in large quantities and can be p... |
quantumcomputing/cef566be_126548.txt | - Control Qubits: The gate will have an effect if both control qubits are in the 1 gt; state. - Target Qubit: If the condition above is met, the target qubit will be flipped ( 0 gt; becomes 1 gt; and vice versa). If either control qubit is in the 0 gt; state, the target qubit remains unchanged. |
quantumcomputing/2258_e6d8ec88910b204d_62.txt | Frank Arute, Kunal Arya, Ryan Babbush, Dave Bacon, Joseph C. Bardin, Rami Barends, Rupak Biswas, Sergio Boixo, Fernando G. S. L. Brandao, David A. Buell, Brian Burkett, Yu Chen, Zijun Chen, Ben Chiaro, Roberto Collins, William Courtney, Andrew Dunsworth, Edward Farhi, Brooks Foxen, Austin Fowler, Craig Gidney, Marissa ... |
quantumcomputing/a5db0c91_5299.txt | A practical quantum computer must use a physical system as a programmable quantum register. Researchers are exploring several technologies as candidates for reliable qubit implementations. Superconductors and trapped ions are some of the most developed proposals, but experimentalists are considering other hardware poss... |
quantumcomputing/32894_72cabeb6d560b66c_31.txt | In contrast to uniform distribution in power wires, actual currents tend to exhibit complicated crowding phenomena at the connections between Through-silicon-via (TSV) and power wires. The current crowding effect degrades power integrity and increases the difficulty of 3D IC power delivery network (PDN) analysis. There... |
quantumcomputing/16776_afb95353be58d856_66.txt | 1 D. Meiser, Jun Ye, D. R. Carlson, and M. J. Holland. Phys. Rev. Lett. 102, 163601 (2009) 2 M. A. Norcia, M. N. Winchester, J. R. K. Cline, J. K. Thompson. Science Advances 2, e1601231 (2016) 3 M. A. Norcia, J. R. K. Cline, J. A. Muniz, J. M. Robinson, R. B. Hutson, A. Goban, G. E. Marti, J. Ye, and J. K. Thompson. Ph... |
quantumcomputing/34793_e272bdff51b1eb10_343.txt | Transformers have the capacity to act as supervised learning algorithms: by properly encoding a set of labeled training (''in-context'') examples and an unlabeled test example into an input sequence of vectors of the same dimension, the forward pass of the transformer can produce predictions for that unlabeled test exa... |
quantumcomputing/17894_d2459b6037275255_24.txt | Two-copy measurements can also be used to simultaneously extract information about all 4*N* Pauli strings22."). Using this property and an analysis technique known as Bell difference sampling53."), we experimentally evaluate and directly verify the amount of additive Bell magic53.") in our circuits as a function of the... |
quantumcomputing/493abc0f_115255.txt | Joe Gibbs, Kaitlin Gili, Zoë Holmes, Benjamin Commeau, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles, and Andrew Sornborger, Long-time simulations for fixed input states on quantum hardware , npj Quantum Information 8 1, 135 (2022). |
quantumcomputing/63033cea_122520.txt | 73 Ernest Y.-Z. Tan, Pavel Sekatski, Jean-Daniel Bancal, René Schwonnek, Renato Renner, Nicolas Sangouard, and Charles C.-W. Lim. Improved DIQKD protocols with finite-size analysis''. Quantum 6, 880 (2022). arXiv:2012.08714. https: doi.org 10.22331 q-2022-12-22-880 arXiv:2012.08714 |
quantumcomputing/14816_e6eb321e4e9c903b_255.txt | 4 Quantum Evolution of the State (of the Art) A respectable scientific theory helps find new results, confirms expectations, extends the validity of known laws bringing them toward the realm of the unknown and (formerly) inexplicable, and so on. An exciting scientific theory leaves room for imagination and artistic cre... |
quantumcomputing/9769_2ed2d1df17fe28a3_63.txt | For interesting chemistry we need the building blocks to be charged. However, charged particles lead to various problems in classical electromagnetism, e.g., the infinite self-energy of electron or the radiation from an accelerated charge. Quantum mechanics solves these problems. I suspect that any attempt to solve the... |
quantumcomputing/4625_ebeb95a89c78f21f_152.txt | The coefficients are chosen randomly. Those coefficients are then fixed for the users utilizing this particular implementation of MQDSS. Each user then choses a random vector s from the Fn as his or her private key. Put more clearly, the users choose an s such that s Fn The public key is computed as follows: k = P(s)... |
quantumcomputing/4625_578753610752009e_82.txt | Degeneracy The eigenvalues An of a Hermitian operator A need not be distinct. Two or more orthogonal eigenvectors may have equal eigenvalues. This is called degeneracy. If A has degeneracy, then A will not uniquely determine an eigenbasis. For example, consider a three-level atom with an energy observable (the Hamilton... |
quantumcomputing/18150_723fd0fbfe5d7a11_94.txt | ``` @phdthesis{Khesin2025thesis, author = {Khesin, Andrey Boris}, title = {{Quantum Computing from Graphs}}, year = {2025}, school = {Massachusetts Institute Of Technology}, urldate = {2025-02-01}, link = {https://arxiv.org/abs/2501.17959}, keywords = {ZX-calculus, Error Correcting Codes, Clifford Fragment, PhD Thesis}... |
quantumcomputing/9073_bcfe3e94e7eb66b1_15.txt | With increasing complexity of the system, larger standard deviations \(\sigma \_{\textrm{qc}}\) were observed. However, this does not hold for system QS-1-2, where we find a smaller variance for each state’s population. In fact, all populations are approximately constant in time and are almost the same in magnitude, wh... |
quantumcomputing/34011_a5801def072ec91c_337.txt | The d reality bias is a tendency of individuals who interact frequently to converge on their perspectives and judgments about the world. Again, such a bias is epistemically useful for individuals engaged in joint inquiry. However, when groups of inquirers are segregated along the same lines that define group inequali... |
quantumcomputing/34793_c0b3a683de3beb91_30.txt | Tegmark and Tononi both seem to approach the problem of consciousness in an abstract manner disconnected from living matter which is the only material we can reasonably confident is (or might) be capable of consciousness. I argue that living matter itself possesses integrated information and the difference between livi... |
quantumcomputing/1226_3fc4c296cc68989d_24.txt | For the long-term future, opportunities can be envisioned, combining conducting graphene with semiconducting and optically active 2d crystals, to create hybrid multilayer superstructures. If 2d crystals hold a wide variety of properties, the sandwiched structures of 2, 3, 4… layers of such materials can further offer l... |
quantumcomputing/14816_889bcb3d28cecf3a_354.txt | Single-photon interference due to passage through a periodic grating is considered in a novel proposal for processing D -dimensional quantum systems (quDits) encoded in the spatial degrees of freedom of light. We show that free-space propagation naturally implements basic single-quDit gates by means of the Talbot effec... |
quantumcomputing/16776_5e68663f418490bf_112.txt | Why do large language models sometimes output factual inaccuracies and exhibit erroneous reasoning? The brittleness of these models, particularly when executing long chains of reasoning, currently seems to be an inevitable price to pay for their advanced capabilities of coherently synthesizing knowledge, pragmatics, an... |
quantumcomputing/34011_74845111e5423cd6_266.txt | The increased rate at which satellite constellations are being placed in orbit is creating visible challenges on the management, development and maintenance of ground segment software applications. Ensuring maintainability and reliability, while scaling systems and teams is a challenge, particularly across a diverse se... |
quantumcomputing/14994_bb89c4acbf2bb616_336.txt | The next question arises:33, 34 what is the essential property in bioinspired or biological computing? Bioinspired computing or biological computing is expressed as a multi-agent system whether it is a multicellular or unicellular organism under indefinite conditions.1, 20, 21 Therefore, these systems are obliged to be ... |
quantumcomputing/34011_a5801def072ec91c_896.txt | There is an underlying philosophical problem and a psychological problem. If we assign a coordinate system to spacetime, and somehow operationally define what it is for a clock at one place to be in synch with a clock at another place, then we can define distant simultaneity in that coordinate system. However, whether ... |
quantumcomputing/d85d52f6_1348.txt | Quantum picturalism Bob Coecke Show abstract ⇲ Show bibdata ⇲ Contemporary Physics Keywords: ZX-Calculus, Foundational. The quantum mechanical formalism doesn't support our intuition, nor does it elucidate the key concepts that govern the behaviour of the entities that are subject to the laws of quantum physics. The ar... |
quantumcomputing/22087_e1ef1f358f6bc321_31.txt | In this paper, study of binary mixture of Acrylonitrile (ACN) with Chlorobenzene (CBZ) has been carried out at eleven concentrations at room temperature. The determined Dielectric Constant (É0) Density (Ï) and Refractive index (nD) values of binary mixture are used to calculate the excess properties of mixture over t... |
quantumcomputing/22087_69ca229ec5299de3_678.txt | Rank reduction as an effective technique for dimension reduction is widely used in statistical modeling and machine learning. Modern statistical applications entail high dimensional data analysis where there may exist a large number of nuisance variables. But the plain rank reduction cannot discern relevant or importan... |
quantumcomputing/34793_e272bdff51b1eb10_323.txt | Programmatic reinforcement learning (PRL) has been explored for representing policies through programs as a means to achieve interpretability and generalization. Despite promising outcomes, current state-of-the-art PRL methods are hindered by sample inefficiency, necessitating tens of millions of program-environment in... |
quantumcomputing/7161_99d9c6b0c4402e98_1.txt | These extra terms that we had to add to the integral, \(\rho^2 \sin \theta\), constitute the *measure*. The measure weights portions of the sphere differently depending on where they are in the space. While we need to know the measure to properly integrate over the sphere, knowledge of the measure also gives us the mea... |
quantumcomputing/32894_c65187f488c01dde_422.txt | The large-scale pre-trained vision language models (VLM) have shown remarkable domain transfer capability on natural images. However, it remains unknown whether this capability can also apply to the medical image domain. This paper thoroughly studies the knowledge transferability of pre-trained VLMs to the medical doma... |
quantumcomputing/2565_a8a638dc956ff973_92.txt | 3.3.6.1 Quantum enhanced variants. In the quantum generative adversarial network (QGAN),256 we have a source US that outputs true samples and a generator UG that outputs fake samples. Both US and UG take an input state |0〉⊗n, label |λ〉 and random noise |z〉 to output a density matrix in the system qubits. The noise vect... |
quantumcomputing/24212_3fc4c296cc68989d_21.txt | Fig. 13 provides evidence of a relative increase in graphene patent filings in South Korea from 2007 to 2009 compared to 2004–2006. This could indicate increased commercial interest in graphene technology from around 2007. The period 2010 to 2012 shows a marked relative increase in graphene patent filings in China. It ... |
quantumcomputing/175_40094682244c3a83_258.txt | Humans and animals explore their environment and acquire useful skills even in the absence of clear goals, exhibiting intrinsic motivation. The study of intrinsic motivation in artificial agents is concerned with the following question: what is a good general-purpose objective for an agent? We study this question in dy... |
quantumcomputing/38735_7bf989aafa8e9796_245.txt | The deviation of the sensitivity factors for about 50 sensors of the axial-symmetric transmission gauge (ATG) was examined. The deviation has been compared with that for about 30 sensors of the B-A gauge and for about 30 sensors of the extractor gauge. Almost the same deviations are found for the above three types of g... |
quantumcomputing/34011_a5801def072ec91c_2010.txt | The connection between Godwin’s ideas about education and his philosophical anarchism is clear. Had he been less sceptical about government involvement in education, he might have embraced more immediately implementable education policies. His optimism derives from a belief that the less interference there is by polit... |
quantumcomputing/37355_e4427061f6aeb8f8_121.txt | √ where A and R both have dimension d. This vector has norm d instead of norm 1; we choose this unconventional normalization, highlighted by the tilde over Φ, to avoid annoying factors of d in the formulas that ˜ Φ| ˜ (up follow. If EA→A0 is completely positive, then I ⊗ E maps |Φih 0 to normalization) to a density ope... |
quantumcomputing/1226_3fc4c296cc68989d_392.txt | Key to this is the inability of monolithic vibrations to provide localized tactile feedback associated with visual images, and this is related to the difficulty in implementing tactile feedback directly from a display surface.1816,1817 To address the problem, a flexible and optically transparent graphene-based programm... |
quantumcomputing/744ba6f1_7152.txt | Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work was supported by MICINN through the European Union NextGenerationEU recovery plan (PRTR-C17.I1), and by the Galician Regional Government through the “Planes Complementarios de I+D+I con las Comunidades Autónomas” in Quantum C... |
quantumcomputing/22087_db9c0f2f4b6f960d_2860.txt | The black hole, which arises solely from an incorrect analysis of the Hilbert solution, is based upon a misunderstanding of the significance of the coordinate radius r. This quantity is neither a coordinate nor a radius in the gravitational field and cannot of itself be used directly to determine features of the field ... |
quantumcomputing/9517cd1f_120399.txt | When the state is written in spin notation, the spin operator can be written S d i θ displaystyle hat S _ d rightarrow i partial over partial theta S d i θ . displaystyle hat S _ d dagger rightarrow -i partial over partial theta . |
quantumcomputing/175_40094682244c3a83_1777.txt | Several queries and scores have recently been proposed to explain individual predictions over ML models. Examples include queries based on “anchors”, which are parts of an instance that are sufficient to justify its classification, and “feature-perturbation” scores such as SHAP. Given the need for flexible, reliable, a... |
quantumcomputing/c9053e43_4562.txt | In this module, we will explore the basics of multi-qubit states, highlighting how they differ from single qubit systems. You'll learn about the significance of entanglement and how multi-qubit interactions form the core of quantum computing. |
quantumcomputing/24212_9c55ec72d7e334c6_16.txt | Quantum computers hold the promise of solving certain problems that lie beyond the reach of conventional computers. Establishing this capability, especially for impactful and meaningful problems, remains a central challenge. One such problem is the simulation of nonequilibrium dynamics of a magnetic spin system quenche... |
quantumcomputing/175_40094682244c3a83_241.txt | It is well known that modern deep neural networks are powerful enough to memorize datasets even when the labels have been randomized. Recently, Vershynin(2020) settled a long standing question by Baum(1988), proving that deep threshold networks can memorize $n$ points in $d$ dimensions using $\widetilde{\mathcal{O}}(e^... |
quantumcomputing/24212_723fd0fbfe5d7a11_229.txt | ``` @article{koch2023speedy, author = {Koch, Mark and Yeung, Richie and Wang, Quanlong}, title = {{Contraction of ZX diagrams with triangles via stabiliser decompositions}}, year = {2024}, journal = {Physica Scripta}, doi = {10.1088/1402-4896/ad6fd8}, urldate = {2023-07-04}, link = {http://arxiv.org/abs/2307.01803}, ke... |
quantumcomputing/b97957af_2998.txt | There are a number of technical challenges in building a large-scale quantum computer. Physicist David DiVincenzo has listed these requirements for a practical quantum computer: Physically scalable to increase the number of qubits Qubits that can be initialized to arbitrary values Quantum gates that are faster than dec... |
quantumcomputing/24212_45e264729078187e_281.txt | Abstract *Diffusion models generate high-quality images but require dozens of forward passes. We introduce Distribution Matching Distillation (DMD), a procedure to transform a diffusion model into a one-step image generator with minimal impact on image quality. We enforce the one-step image generator match the diffusio... |
quantumcomputing/3960_0678c516274774e4_21.txt | Reading some of the comments above, I realize Chris is doing another thing I am prone to doing. I have a tendency to reinvent the wheel, and/or to make awkward probings into what turns out to be established territory. I think it comes from having a very high ratio at a) skill at seeing connections and synthesizing conc... |
quantumcomputing/22087_e1ef1f358f6bc321_11.txt | Sum fraction terms can approximate multi-variable functions on the basis of discrete observations, replacing a partial differential equation definition with polynomial elementary data relation s. Artificial neural networks commonly transform the weighted sum of inputs to describe overall similarity relationships of tra... |
quantumcomputing/500a6fb7_121736.txt | Here it is: if E accepts every product state with probability p, then clearly it accepts every separable mixed state (i.e., every convex combination of product states) with the same probability p. Now, a well-known result of Braunstein et al. , from 1998, states that (surprisingly enough) the separable mixed states hav... |
quantumcomputing/91ce51e3_123593.txt | In this generalized case, the V-count is reduced by 40 compared with that of composition of single-qubit gates, and the log-error is decreased by 70 relative to the direct application of the meet-in-the-middle method. |
quantumcomputing/22087_cfa6e6481b8cd2bd_455.txt | We present a method to approximate operator semigroups with the help of the Chernoff theorem. We discuss different approaches to construct Chernoff approximations for semigroups, generated by Markov processes, and for Schr\"{o}dinger groups. This method provides simultaneousely some numerical schemes for PDEs and pseud... |
quantumcomputing/f3f5b922_14790.txt | A Correction to this paper has been published: https://doi.org/10.1038/s41377-024-01442-0 |
quantumcomputing/14994_bb89c4acbf2bb616_125.txt | parallel approach employed for the computation of the direct Fourier transform is also applicable, with the same results, to the circuit in Figure 4.3, performing the inverse Fourier transform. The difficulty of devising a parallel algorithm for computing the quantum Fourier transform comes from the data dependency betwe... |
quantumcomputing/27984_889bcb3d28cecf3a_327.txt | Quantum information processing and its associated technologies have reached a pivotal stage in their development, with many experiments having established the basic building blocks. Moving forward, the challenge is to scale up to larger machines capable of performing computational tasks not possible today. This raises ... |
quantumcomputing/17894_a8a638dc956ff973_243.txt | The number of nodes in the successive layers is kept the same as the same RBM is used to produce the flow, unlike RG with reducing degrees of freedom as one flows. Its observed that the RBM flow generated in this method approaches the critical point, despite the RG flow moving away from unstable points. Despite these d... |
quantumcomputing/93c14484_12745.txt | Add this session to my calendar Date: Tuesday, 1 April 2025Time: 14:00 CEST - 15:30 CESTLocation / Room: St Clair 1 Organisers:Leticia Maria Bolzani Poehls, Leibniz-Institut für innovative Mikroelektronik, DEMoritz Fieback, TU Delft, NL |
quantumcomputing/4628_98bc330e6ca89479_775.txt | More precisely, Alice and Bob and can bound the fidelity of their EPR pairs by randomly sampling a subset of them. Suppose Alice sends 2 n EPR pair halves to Bob. They subsequently randomly select n of them and these qubits by jointly measuring either 14 b f or n p f (again, chosen randomly). By the same classical arg... |
quantumcomputing/32894_1996e1986c60b184_180.txt | The importance of building text-to-SQL parsers which can be applied to new databases has long been acknowledged, and a critical step to achieve this goal is schema linking, i.e., properly recognizing mentions of unseen columns or tables when generating SQLs. In this work, we propose a novel framework to elicit relation... |
quantumcomputing/21985_1170253c1b5054d4_5.txt | One of the most surprising aspects of quantum theory is that it tells us that we live in a nonlocal universe. This idea was completely abhorrent to Einstein, who dismissed it as “spooky action at a distance”. Recent so-called loophole-free Bell experiments have confirmed nonlocality beyond any reasonable doubt. But hav... |
quantumcomputing/b4438c3a_124229.txt | 3.2. Estimating Amplitude ParametersAs stated in the introduction, the quantum part of Shor s algorithm produces in its final step the following quantum state via a measurement: 1 N A j 0 A 1 ω N j p y y (27) Thus, according to the Born rule, the probability P y of this particular state y is the square of t... |
quantumcomputing/4b13cd91_126266.txt | Yunqi Huang is with Nanjing Tech University and Centre for Quantum Software and Information (QSI), Faculty of Engineering and Information Technology, University of Technology Sydney, NSW 2007, Australia.Xiangzhen Zhou is with Nanjing Tech University. (E-mail: xiangzhenzhou njtech.edu.cn )Fanxu Meng is with Nanjing Tech... |
quantumcomputing/17894_a8a638dc956ff973_116.txt | 2. The first work to exemplify an advantage is ref. 324. The algorithm in ref. 324 performs a standard support-vector machine classification task (discussed in Section 3.2.7) with  (train... |
quantumcomputing/18150_723fd0fbfe5d7a11_330.txt | Diagrams are ubiquitous in physics and have catalysed progress on numerous occasions. From tensor networks and quantum circuits to Feynman diagrams, there are few areas of physics that don’t employ some informal pictorial reasoning. These diagrams represent the underlying mathematical operations and aid physical interp... |
quantumcomputing/5147_2133873ef2897b08_45.txt | Parameters: : * **tensor** (*ndarray*) – the tensor representations of the quantum comb. * **partition** (*List***[*int*")*] or* *Tuple***[*int*")*]**,* *optional*) – partition of `matrix`. If not provided and system\_input is None, assume the input is a quantum state, whose input is a trivial system. If system\_inpu... |
quantumcomputing/26329_e6eb321e4e9c903b_158.txt | when these subsystems are correlated with one another (as the state of one side of a coin is correlated with the state of the other side, for instance), as long as we include facts about those correlations in our of the overall system, then its overall state can be factored into the individual states of its subsystems... |
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