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quantumcomputing/22108_db9c0f2f4b6f960d_1211.txt | In this paper, author introduced two theories, energy spiral as a unified field and dual resonance for energy transfer. This paper is based on these theories. Through studying formation process of particles, as was indicated that: vacuum particles and 12 basic particles are existing in the vacuum, which will become pro... |
quantumcomputing/64c664b0_10903.txt | The applications in this category essentially hinge on providing uncompromising security or privacy compared to their classical counterparts. As introduced in Section 2, these applications use the fundamental principles of quantum mechanics, that is, the no-cloning theorem and quantum entanglement. The advancements in ... |
quantumcomputing/20712_2ed2d1df17fe28a3_105.txt | Look, I don’t really believe this but it’s an interesting line of thought. Suppose you are some kind of dualist (in the sense of us having something like souls or being in something like the matrix) and you want a rules for the physical world that don’t expose this fact. In other words you want our choices to be govern... |
quantumcomputing/6436_723fd0fbfe5d7a11_644.txt | This paper has two tightly intertwined aims: (i) To introduce an intuitive and universal graphical calculus for multi-qubit systems, the ZX-calculus, which greatly simplifies derivations in the area of quantum computation and information. (ii) To axiomatise complementarity of quantum observables within a general framew... |
quantumcomputing/44116_afb95353be58d856_104.txt | We develop an efficient procedure to fully characterize arbitrary Gaussian quantum processes. This is done by directly obtaining all elements of the symplectic matrix and of the displacement vector that describe the process. The procedure utilizes a well-characterized coherent probe and employs quadrature detection met... |
quantumcomputing/20712_f21f706356b21da2_194.txt | The performance of a large language model (LLM) depends heavily on the quality and size of its pretraining dataset. However, the pretraining datasets for state-of-the-art open LLMs like Llama 3 and Mixtral are not publicly available and very little is known about how they were created. In this work, we introduce FineWe... |
quantumcomputing/14994_ebeb95a89c78f21f_158.txt | 15.2.2 Niederreiter Cryptosystem Developed in 1986 by Harald Niederreiter, the Niederreiter cryptosystem is a variation of the McEliece cryptosystem. It is probably a good idea to make sure you are quite familiar with McEliece before continuing with this section. The Niederreiter cryptosystem security is relatively th... |
quantumcomputing/109f3f9b_125750.txt | 00 ψ00 01 ψ01 10 ψ10 11 ψ11 . 00 rangle psi_ 00 rangle 01 rangle psi_ 01 rangle 10 rangle psi_ 10 rangle 11 rangle psi_ 11 rangle. 00 ψ00 01 ψ01 10 ψ10 11 ψ11 . |
quantumcomputing/2270_2ed2d1df17fe28a3_320.txt | Thus the only aspects of QM I regard as surprising are those that make quantum computation difficult to simulate classically. One approach to asking why these aspects might be necessary is exactly the one you outlined above: try to make an interesting physics with classical Cellular Automata, and see if there is a prob... |
quantumcomputing/1226_889bcb3d28cecf3a_316.txt | We elaborate the idea of quantum computation through measuring the correlation of a gapped ground state, while the bulk Hamiltonian is utilized to stabilize the resource. A simple computational primitive, by pulling out a single spin adiabatically from the bulk followed by its measurement, is shown to make any ground s... |
quantumcomputing/22108_db9c0f2f4b6f960d_1748.txt | As a step toward understanding why the Earth's atmosphere "rotates" with the Earth, we use Geometric (Clifford) Algebra to investigate the trajectory of a single molecule that desorbs vertically upward from the Equator, then falls back to Earth without colliding with any other molecules. Sample calculations are present... |
quantumcomputing/24212_45e264729078187e_50.txt | Abstract *While machine learning is nowadays used in essentially all natural sciences, the timeline of adaptation in the different disciplines, and the subfields within each discipline, varies widely. Theoretical Physics and Mathematics are among the latest adopters of machine learning techniques, which is in part due ... |
quantumcomputing/22087_723fd0fbfe5d7a11_455.txt | ``` @inproceedings{debeaudrap2020welltempered, author = {de Beaudrap, Niel}, title = {{Well-tempered ZX and ZH Calculi}}, year = {2021}, booktitle = {Proceedings 17th International Conference on Quantum Physics and Logic, Paris, France, June 2 - 6, 2020}, editor = {Valiron, Beno\^it and Mansfield, Shane and Arrighi, Pa... |
quantumcomputing/24212_723fd0fbfe5d7a11_17.txt | ``` @article{hjerpekjønhaug2025lattice, author = {Hjerpekjøn Haug, Trond and Hillmann, Timo and Frisk Kockum, Anton and Van Laer, Rapha{\"e}l}, title = {{Lattice surgery with Bell measurements: Modular fault-tolerant quantum computation at low entanglement cost}}, year = {2025}, journal = {arXiv preprint arXiv:2510.135... |
quantumcomputing/13334_db9c0f2f4b6f960d_67.txt | We envisage theoretical structures (especially in pure mathematics and theoretical physics) as networks made of elementary propositions (representing nodes) interconnected through deductive relationships (representing throats). This vision can be exploited as a basis for employing traditional network modeling technique... |
quantumcomputing/8652_906acd2ff9117deb_52.txt | Abstractions for quantum software. This challenge is essential for elevating the usability and flexibility of quantum programming languages. At present, the process of encoding data types in quantum states and designing corresponding operations on these states is one of the foundational strategies for increasing the ab... |
quantumcomputing/32894_c65187f488c01dde_354.txt | This work aims to tackle a major challenge in offline Inverse Reinforcement Learning (IRL), namely the reward extrapolation error, where the learned reward function may fail to explain the task correctly and misguide the agent in unseen environments due to the intrinsic covariate shift. Leveraging both expert data and ... |
quantumcomputing/1226_0a8affcd6fcd60e1_24.txt | ! Please read the article and also the paper it refers to if inclined. Look carefully at the trefoil knot shown in "b" compared with the experimental knot shown to it's left. These are knots in individual photons of "light". More importantly is the stresses created in the space lying between them which is "energy"... t... |
quantumcomputing/2565_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/2270_2ed2d1df17fe28a3_26.txt | Here’s what I think will happen. We will eventually invent a real Artificial Intelligence capable of thinking of these things. We will eliminate these mental hacks from our AI, perhaps replacing them by some new ones not d by humans. An entire science will arise around inventing new ways to look at the universe. Then w... |
quantumcomputing/1226_0a8affcd6fcd60e1_19.txt | This is still early days. I would point out this is arguably a feat greater than the abilities of the atom smasher at CERN... by using a "light touch" and not trying to use "brute force", these researchers have reached down into single atoms and probed their outer nucleus on the common lab benchtop, probing single atom... |
quantumcomputing/7de61174_14729.txt | Presenting Author: Shah Saad Alam, University of Colorado JILAContributing Author(s): Victor Colussi, John Wilson, Jarrod Reilly, Michael Perlin, Murray Holland Quantum sensors have emerged as a rapidly growing application of quantum devices for precision measurement, offering multiple advantages over classical sensors... |
quantumcomputing/22108_808db5389f8f8e1e_51.txt | where θ is the angle between the transmission axis of the sheet and the hlp direction of the PBS. I1 is the intensity of the light beam before it interacts with PBS. CARDY: I am a bit rusty at trig. Could you give me a graph or something like that? ALICE: The graphs are shown in Figure 5.3. Let’s that the results give... |
quantumcomputing/175_40094682244c3a83_2156.txt | Graph Convolutional Networks (GCNs) are promising deep learning approaches in learning representations for graph-structured data. Despite the proliferation of such methods, it is well known that they are vulnerable to carefully crafted adversarial attacks on the graph structure. In this paper, we first conduct an adver... |
quantumcomputing/92c0320d_3072.txt | In this review, we screened and analyzed published work on quantum computing for space science and technology. We adopted the perspective of quantum computing experts, organizing the presentation by sorting previous works by quantum algorithms and architectures utilized to solve a computational problem. We aimed to off... |
quantumcomputing/4693_a7a3e3b621e221e1_63.txt | – I have read the paper from Brown et al. They don’t address the basic issues about MW. Nobody does, anyway, so I don’t blame them ( the mathematical of the spacetime geometry of the splitting semi-classical worlds ,e.g.) – The way that you address my previous comment about Alice and Bob’s measurements in the context ... |
quantumcomputing/aba931ee_6623.txt | Alexander S. Wein High-dimensional planted problems, such as finding a hidden dense subgraph within a random graph, often exhibit a gap between statistical and computational feasibility. While recovering the hidden structure may be statistically possible, it is conjectured to be computationally intractable in certain p... |
quantumcomputing/32894_1a8f0330de3b41ea_102.txt | Multimodal emotion recognition aims to identify emotions by integrating multimodal features derived from spoken utterances. However, existing work often neglects the calibration of conversational entities, focusing mainly on extracting potential intra- or cross-modal information. This leads to the underutilization of u... |
quantumcomputing/20750_b393da4e2e72ed8a_64.txt | In previous chapters, we called plot\_bloch\_multivector(vector.data) to display a qubit’s Bloch sphere. You can do that in this section. But with entangled qubits, you can also call vector.draw(output='qsphere'). In Figure 4.19, each dot on the sphere represents a two-qubit state. One of these states is |00⟩, and the ... |
quantumcomputing/38735_4268de2ba98204ef_46.txt | Weyl semimetals realize massless relativistic fermions with two Weyl nodes separated in energy and momentum space, whose low-energy physics is described by Dirac fermions with an axial gauge constant. Here, we study their electromagnetic linear responses based on the effective field theory and on the chiral kinetic the... |
quantumcomputing/22087_69ca229ec5299de3_2695.txt | The incipient infinite cluster was first proposed by physicists in the 1970s as a canonical example of a two-dimensional medium on which random walk is subdiffusive. It is the measure obtained in critical percolation by conditioning on the existence of an infinite cluster, which is a probability zero event. Kesten pres... |
quantumcomputing/fd650a6d_8534.txt | The Job-shop Scheduling Problem (JSP) offers a more detailed mathematical framework for scheduling tasks and is one of the most extensively studied problems in combinatorial optimization. It is a general paradigmatic constraint satisfaction problem (CSP) modeling the optimal allocation of resources required to execute ... |
quantumcomputing/1e861d93_1273.txt | To give an overview of the methodology, we first detail how the financial settlement problem can be constructed using data provided by a regulated financial exchange (2.1). We will then describe the quantum algorithm (Fig. 2) consisting of a heuristic to exponentially reduce the number of qubits (Sect. 2.2), a cost-obj... |
quantumcomputing/14472_2ed2d1df17fe28a3_280.txt | Now please don’t say that the probabilities are objective or subjective or whatever, that’s just intellectual vandalism. You were explicit that the vector of probabilities was the true state of the world, that makes them objective probabilities. Objective probabilities are a property of the world, subjective probabilit... |
quantumcomputing/14816_5f2deb247b7d4485_61.txt | plate and filled with a bead of his mother’s honey to focus the light. Fresnel strung a thin wire in the light beam to act as an opaque element to diffract the light, and he placed a white sheet against the far wall where he could see the dim diffraction fringes. At this stage, his approach and his measurements were no... |
quantumcomputing/32894_72cabeb6d560b66c_430.txt | Convolutional neural networks (CNNs) have been widely adopted for various machine intelligence tasks. Nevertheless, CNNs are still known to be computational demanding due to the convolutional kernels involving expensive Multiply-ACcumulate (MAC) operations. Recent proposals on hardware-optimal neural network architectu... |
quantumcomputing/decc84bb_5679.txt | Languages such as QCL and Quipper may well solve the problem of how to write programs for quantum computers. There remains the question of what programs to write. Stephen Jordan of the National Institutes of Standards and Technology maintains a “Quantum Algorithm Zoo” ( http://math.nist.gov/quantum/zoo/); it lists 50 p... |
quantumcomputing/25925_723fd0fbfe5d7a11_432.txt | ``` @article{vandewetering2020constructing, author = {van de Wetering, John}, title = {{Constructing quantum circuits with global gates}}, year = {2021}, journal = {New Journal of Physics}, volume = {23}, number = {4}, month = {4}, pages = {043015}, publisher = {{IOP Publishing}}, doi = {10.1088/1367-2630/abf1b3}, urld... |
quantumcomputing/22087_69ca229ec5299de3_1381.txt | A Jones surface for a knot in the three-sphere is an essential surface whose boundary slopes, Euler characteristic, and number of sheets correspond to quantities defined from the asymptotics of the degrees of colored Jones polynomial. The Strong Slope Conjecture by Garoufalidis and Kalfagianni-Tran predicts that there ... |
quantumcomputing/44116_58b87e4807ca5e69_173.txt | 77. Siekmann, J., & Szabo, P. (1982). A noetherian and confluent rewrite system for idempotent semigroups. Semigroup Forum, 25, 83–100. 78. Siekmann, J., & Wrightson, G. (1983). Automation of reasoning: Classical papers on computational logic (Vols. 1 & 2). Berlin: Springer. 79. Szabo, P., & Unvericht, E. (1982). D-uni... |
quantumcomputing/9339_622391702acffd65_164.txt | stored; (b) ∣D[0:n−1]〉, n-qubit register in which the divisor is loaded; (c) ∣R [0:n−1], nqubit remainder register which is initiated to 0 at the start. Therefore, for initiating ∣R [0:n−1]〉, n ancillary qubits are required. The algorithm executes repeatedly and from the algorithm it can be observed that at the end of ... |
quantumcomputing/32894_c65187f488c01dde_453.txt | Neural networks with sinusoidal activations have been proposed as an alternative to networks with traditional activation functions. Despite their promise, particularly for learning implicit models, their training behavior is not yet fully understood, leading to a number of empirical design choices that are not well jus... |
quantumcomputing/24212_723fd0fbfe5d7a11_587.txt | ``` @inproceedings{gogioso2015mermin, author = {Gogioso, Stefano and Zeng, William}, title = {{Mermin Non-Locality in Abstract Process Theories}}, year = {2015}, booktitle = {Proceedings of the 12th International Workshop on Quantum Physics and Logic (QPL 2015)}, editor = {Chris Heunen and Peter Selinger and Jamie Vica... |
quantumcomputing/13334_747474a2b9a780fd_105.txt | Preparing superpositions with the inverse QFT So far we’ve thought of the QFT as a phase manipulation primitive. Another use of the QFT is to prepare (or alter) periodically varying superpositions in ways that would otherwise be very difficult. Like all non-READ QPU operations, the QFT has an inverse. The inverse QFT (... |
quantumcomputing/34793_f912c25a514b0ce2_6.txt | This Wigner friend problem is realistic if we consider the decoherence of states as due to further entanglement. We ordinarily think of localization of a quantum state or particle is associated with collapse. With this decoherence comes a loss of quantum correlation or phase. However, if we have two observers looking a... |
quantumcomputing/9073_a8a638dc956ff973_198.txt | Tensor networks as described in Section 3.4 have been used as an ansatz to classically simulate numerous quantum systems with limited entanglement. One can map a quantum many-body state represented on a tensor network to quantum circuits so that it can harness the quantum advantage. The goal is to prepare variational s... |
quantumcomputing/34011_a5801def072ec91c_1651.txt | What does it take to be in a position to know p? One type of characterization takes being in a position to know as being in a position where all the non-doxastic demands on knowing are met (Smithies 2012; Neta 2017; Rosenkranz 2018; Lord 2018). The doxastic demands involve believing *p* in the right kind of way, that i... |
quantumcomputing/2f921fa9_4029.txt | Add this session to my calendar Date: Monday, 17 April 2023Time: 14:00 CEST - 14:45 CESTLocation / Room: Marble Hall Session chair:Anton Klotz, Cadence Design Systems, DE This is a Young People Programme event. During the Company Presentation Session, participating companies will introduce themselves and explain their ... |
quantumcomputing/22108_c2c01ebb412339b8_113.txt | Some gates have names based on the three coordinate axes. These names come from how they move a quantum state on the Bloch sphere. That is, when you carefully plot how a quantum state changes on the Bloch sphere when acted on by the gate, it’ll seem like the gate rotates the quantum state around the corresponding axis.... |
quantumcomputing/6f5b1024_116793.txt | Where changes in the variational angle get suppressed by the dimensionality of the Hilbert space for an expressible anastz. On the other hand, avoiding vanishing gradients requires the fine-tuning for weight initialization between layers. There is a similar relationship for the node weights initialization (with slight ... |
quantumcomputing/34011_a5801def072ec91c_539.txt | During his years in Vienna (1874-1895), Brentano’s interest shifted more and more towards his second programmatic idea. In this context, Brentano found it necessary to distinguish more sharply between a “descriptive” and a “genetic” psychology. With this distinction in hand, he tried to show what psychology might contr... |
quantumcomputing/34793_e272bdff51b1eb10_393.txt | To embed structured knowledge within labels into feature representations, prior work (Zeng et al., 2022) proposed to use the Cophenetic Correlation Coefficient (CPCC) as a regularizer during supervised learning. This regularizer calculates pairwise Euclidean distances of class means and aligns them with the correspondi... |
quantumcomputing/a73170ec_3921.txt | Concerning digital electronics Mo and W-based dichalcogenides are 2d semiconductors with band gaps ranging from the visible to the near-infrared (NIR), offering serious perspectives for performant FETs. The fabrication of the first top-gated SL-MoS2 FETs with RT mobilities ∼60–70 cm2 V−1 s−1, large ION/IOFF (∼108) and ... |
quantumcomputing/18150_fabfe441a4d6a0af_44.txt | Abstract: As quantum computing evolves, the integration of quantum and classical systems will become a cornerstone of high-performance computing strategies, driving advancements in various scientific and commercial fields. CUDA-Q is a programming model integrating heterogeneous QPU, CPU, GPU, and emulated quantum syste... |
quantumcomputing/7ac25ec3_117469.txt | We can solve this equation using methods from linear algebra. This is too verbose for this blog, you can use your favourite mathematical software to solve it. But there does exist a , and it is: |
quantumcomputing/14994_8ecc1c53b3b42b31_199.txt | Researchers are continuing to develop new measures of entanglement and explore properties of states entangled with respect to tensor decompositions into more than two subsystems. For quantum computation, we are particularly interested in properties of n -qubit states for large n, and measures of entanglement for these ... |
quantumcomputing/22087_db9c0f2f4b6f960d_2191.txt | Based on the review of the development and recent advances in model, reasoning, decision and evaluation in evidence theory, some analyses and discussions on some problems, confusions and misunderstandings in evidence theory are provided together with some related numerical examples in this paper. The relations between ... |
quantumcomputing/29980_0d146684cff49b5c_17.txt | It’s worth emphasizing this point, because it dispels a common misconception: *quantum computers do not simply “try all solutions at once” and instantly know the best one*. Yes, they *explore* many solutions in parallel via superposition, but you don’t gain anything unless you can make the *right* solution more likely ... |
quantumcomputing/2299_895a10efa5917d6e_58.txt | The recently developed quantum circuit cutting technique greatly extends the capabilities of current noisy intermediate-scale quantum (NISQ) hardware. However, it introduces substantial overhead in both classical postprocessing and quantum resources, as the postprocessing complexity and sampling cost scale exponentiall... |
quantumcomputing/22087_db9c0f2f4b6f960d_2842.txt | The English naturalist Charles Darwin established that all species of life have descended over time from common ancestry, and proposed the scientific theory that this branching pattern of evolution resulted from a process that he called natural selection. In fact, Darwin theory dealt with the evolutional phenomena of t... |
quantumcomputing/16776_5e68663f418490bf_321.txt | Adversarial contrastive learning (ACL) does not require expensive data annotations but outputs a robust representation that withstands adversarial attacks and also generalizes to a wide range of downstream tasks. However, ACL needs tremendous running time to generate the adversarial variants of all training data, which... |
quantumcomputing/9339_a38937c5090409ef_202.txt | 3.3 Perspectives on computer science In a short introduction such as this chapter, it is not remotely possible to cover in detail all the great ideas of a field as rich as computer science. We hope to have conveyed to you something of what it means to think like a computer scientist, and provided a basic vocabulary and ... |
quantumcomputing/32894_fc39bbe803b856a5_299.txt | Recommendation systems have become indispensable in various online platforms, from e-commerce to streaming services. A fundamental challenge in this domain is learning effective embeddings from sparse user-item interactions. While contrastive learning has recently emerged as a promising solution to this issue, generati... |
quantumcomputing/17894_86077d4a38b44b11_108.txt | [Quantum reservoir computing is strongly emerging for sequential and time series data prediction in quantum machine learning. We make advancements to the quantum noise-induced reservoir, in which reservoir noise is used as a resource to generate expressive, nonlinear signals that are efficiently learned with a single l... |
quantumcomputing/38735_25f85de7845ae824_2.txt | A classical simulation of quantum systems demands enormous computational resources. The dimension of underlying Hilbert space scales exponentially with the number of participating elements (N), requiring a 2 2N size of calculation matrix for a unitary operation, for example, 2 100 ≈ 10 30 for only N = 50. With the incr... |
quantumcomputing/13334_db9c0f2f4b6f960d_396.txt | In this paper it is shown that the Banach space of continuous, R^2- or C-valued functions on a simply connected either 2-dimensional real or 1-dimensional complex compact region can be decomposed into the topological direct sum of two subspaces, a subspace of integrable (and conformal) functions, and another one of uni... |
quantumcomputing/14472_2ed2d1df17fe28a3_271.txt | **(Demon Y)** Is the evolved computational hardware of our neural model of computation. Neuroscientific evidence suggests that cognitively (the software) our brains are filling our heads full of illusions and delusions. And on the hardware side: synaptic sites on neuronal dendrites encode complex numbers in the transfe... |
quantumcomputing/b6ea4d38_117583.txt | The effect of a unitary transform F on a register A that is in a superposition of 2 n displaystyle 2 n states and pairwise entangled with the register B. Here, n is 3 (each register has 3 qubits). |
quantumcomputing/5147_2ed2d1df17fe28a3_107.txt | I get that \*as a computer scientist\* you regard cellular automata as “simple”. But thinking as a physicist, in a world where any sort of computer (and especially a digital computer) is a very complex, emergent thing, I don’t see \*any\* of them as simple. You think in terms of \*writing\* or \*abstractly specifying\*... |
quantumcomputing/13334_db9c0f2f4b6f960d_2473.txt | The Simulation Hypothesis proposes that all of reality, including the earth and the universe, is in fact an artificial simulation, analogous to a computer simulation, and as such our reality is an illusion. In this essay I describe a method for programming mass, length, time and charge (MLTA) as geometrical objects der... |
quantumcomputing/9684_67376b44df69bab4_152.txt | + **Matrices**: the static method `Operator.compute_matrices()` defines the matrix representation of the operator, and the function `qml.matrix(op)` computes this for a given instance. (#1996) + **Eigvals**: the static method `Operator.compute_eigvals()` defines the matrix representation of the operator, and the functi... |
quantumcomputing/053235b6_10427.txt | Time: 2pm to 4pm (including 30 minutes for tea and coffee and networking at the end). The aim of the event is to explore with the speakers/audience what research organisations are doing to create infrastructures and incentives for environmentally sustainable research in dry labs, what opportunities and challenges they ... |
quantumcomputing/22087_69ca229ec5299de3_822.txt | The Alpert multiwavelets are an extension of the Haar wavelet to higher degree piecewise polynomials thereby giving higher approximation order. This system has uses in numerical analysis in problems where shocks develop. An orthogonal basis of scaling functions for this system are the Legendre polynomials and we will e... |
quantumcomputing/2565_a8a638dc956ff973_209.txt | | | | | | --- | --- | --- | | image file: d2cs00203e-f36.tif | | | | | **Fig. 36** Schematic representation of random sampling (a) initial parameter references (A, B, and C inside denote the initial parameter set to generate the reference ReaxFF parameter set); (b) definition of a parameter set and explanation abo... |
quantumcomputing/32894_e26caa74eb27f4da_288.txt | We present InvMSAFold, an inverse folding method for generating protein sequences optimized for diversity and speed. For a given structure, InvMSAFold generates the parameters of a pairwise probability distribution over the space of sequences, capturing the amino acid covariances observed in Multiple Sequence Alignment... |
quantumcomputing/32894_e9df209666001648_108.txt | First into the Industrial Revolution, the UK is one of the first out: in 2013 its per capita CO\(\_2\) emissions dropped below their 1860 level, despite per capita real incomes being around 7-fold higher (Hendry, 2020). The model for forecasting UK CO\(\_2\) emissions was selected from annual data 1860-2011 on CO\(\_2\... |
quantumcomputing/670c2d15_7834.txt | You can use rich HTML in comments! You can also use basic TeX, by enclosing it within $$ $$ for displayed equations or \( \) for inline equations. Comment Policies: After two decades of mostly-open comments, in July 2024 Shtetl-Optimized transitioned to the following policy: All comments are treated, by default, as per... |
quantumcomputing/3960_96169d905c875778_290.txt | Electronic systems, especially those in government leave a digital record of every single even and data inquiry in the system and the system credentials of those who view the information. If someone circumvented the standard protocols there would most definitely be a record of that, even at the highest level of office,... |
quantumcomputing/14472_2ed2d1df17fe28a3_312.txt | “All information must be present in the input. This is true, because you said so. You are a world expert and I am an undergraduate with a question. What I don’t understand is: the input to what? The input to the overall cryptosystem? The input to the hash function? The input to the decryption function? The input to the... |
quantumcomputing/175_40094682244c3a83_1124.txt | Hierarchical relations are prevalent and indispensable for organizing human knowledge captured by a knowledge graph (KG). The key property of hierarchical relations is that they induce a partial ordering over the entities, which needs to be modeled in order to allow for hierarchical reasoning. However, current KG embed... |
quantumcomputing/8337_9bb65989695b7ff4_139.txt | We know each photon passes through both slits, because we can slow the experiment down so much that only one photon is released at a time and we still eventually get the interference pattern over time. Each photon released from the light bulb is emitted as a particle from a single hot atom, whose excited electron is ju... |
quantumcomputing/9073_303b46c6a5f64744_89.txt | The major forces to be considered in this decision are as follows: A certain level of performance has to be maintained by the provider (sometimes even formally guaranteed in a Service Level Agreement); performance could be compromised if clients abuse the API. Means for supporting client awareness of Rate Limits are re... |
quantumcomputing/13334_44b7365178791961_480.txt | As the new flagship PC case from ADATA, the Battlecruiser II focuses on the XPG exosceleton design, features four tempered glass panels, and it is compatible with up to 420 mm radiators. It comes with integrated XPG Prime Box for fan control and ARGB synchronization, and has USB4 Type-C port. The ADATA XPG Valor Mesh P... |
quantumcomputing/34011_16096e4fa9a74541_24.txt | Each of these algorithms uses O(n1/4logkn)=O~(n1/4)𝑂superscript𝑛14superscript𝑘𝑛~𝑂superscript𝑛14O(n^{1/4}\log^{k}n)=\tilde{O}(n^{1/4})italic\_O ( italic\_n start\_POSTSUPERSCRIPT 1 / 4 end\_POSTSUPERSCRIPT roman\_log start\_POSTSUPERSCRIPT italic\_k end\_POSTSUPERSCRIPT italic\_n ) = over~ start\_ARG italic\_O... |
quantumcomputing/25925_723fd0fbfe5d7a11_580.txt | Theories featuring the interaction between a Frobenius algebra and a Hopf algebra have recently appeared in several areas in computer science: concurrent programming, control theory, and quantum computing, among others. Bonchi, Sobocinski, and Zanasi (2014) have shown that, given a suitable distributive law, a pair of ... |
quantumcomputing/55ccb2a1_119123.txt | U 0 I displaystyle U 0 I for any unitary matrix U displaystyle U . The identity matrix ( I displaystyle I ) behaves like a NOP and can be represented as bare wire in quantum circuits, or not shown at all. |
quantumcomputing/79ade11c_122331.txt | The following are some of the core set of rewrite rules, here given up to scalar factor : i.e. two diagrams are considered to be equal if their interpretations as linear maps differ by a non-zero complex factor. |
quantumcomputing/adc9cd1e_8256.txt | The architecture of quantum ffNNs is defined in Tacchino2020 ; Tacchino_2021 . An ffNN is essentially composed of a set of individual nisubscript𝑛𝑖{n_{i}}italic_n start_POSTSUBSCRIPT italic_i end_POSTSUBSCRIPT nodes, or artificial neurons, arranged in a sequence of successive Ljsubscript𝐿𝑗{L_{j}}italic_L start_POST... |
quantumcomputing/608ebc1a_115573.txt | Now that we have the complete definition for a single qubit, in this chapter we will generalize this idea to statevectors representing several qubits. We will also discuss multi-qubit quantum gates, introduce the no-cloning theorem, briefly cover the concept of a universal gate-set, and expand on the concept of measure... |
quantumcomputing/3960_f86f793cf9e31867_144.txt | Article ADS Google Scholar 118. Cerezo M, Larocca M, García-Martín D, Diaz NL, Braccia P, Fontana E, Rudolph MS, Bermejo P, Ijaz A, Thanasilp S, Anschuetz ER, Holmes Z. Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing. 2024. . 119. Ragone M,... |
quantumcomputing/1226_889bcb3d28cecf3a_12.txt | It is often said that the transition from quantum to classical worlds is caused by decoherence originated from an interaction between a system of interest and its surrounding environment. Here we establish a computational quantum-classical boundary from the viewpoint of classical simulatability of a quantum system unde... |
quantumcomputing/175_40094682244c3a83_279.txt | We present Long Short-term TRansformer (LSTR), a temporal modeling algorithm for online action detection, which employs a long- and short-term memory mechanism to model prolonged sequence data. It consists of an LSTR encoder that dynamically leverages coarse-scale historical information from an extended temporal window... |
quantumcomputing/34011_a5801def072ec91c_1166.txt | Relativity theory challenges other ingredients of the manifest image of time. For two point-events A and B, common sense says they either are simultaneous or not, but according to relativity theory, if A and B are distant enough from each other and occur enough in time to be within each other’s absolute elsewhere, the... |
quantumcomputing/410ca67d_0130.txt | class qibo.gates.ThermalRelaxationChannel(qubit: int, parameters: list)[source]# Single-qubit thermal relaxation error channel. Implements the following transformation: If \(T_1 \geq T_2\): \[\mathcal{E} (\rho ) = (1 - p_z - p_0 - p_1) \rho + p_z \, Z\rho Z + \mathrm{Tr}_{q}[\rho] \otimes (p_0 | 0\rangle \langle 0| + p... |
quantumcomputing/14994_cdd61dafb85483f2_138.txt | One unexplored area of scalability is that current quantum logic gates are individual operations on individual qubits, or pairs of qubits, or occasionally three qubits, but as the number of qubits used by an algorithm rises dramatically, that means that many quantum logic gates must be executed, some sequentially, but ... |
quantumcomputing/2276_16a55bc42dde3474_12.txt | I think that we will see these non-intelligent but strongly optimizing AI systems continue to do more and more surprising things, things previously believed to require true AGI, while remaining lacking in certain areas (for example, areas where it needs to perform an exact sequence of computational steps to achieve a v... |
quantumcomputing/34793_e272bdff51b1eb10_468.txt | Creativity is defined as the ability to produce novel, useful, and surprising ideas. A sub area of creativity is creative problem solving, the capacity of an agent to discover novel and previously unseen ways to accomplish a task, according to its perspective. While creative problem solving has been extensively studied... |
quantumcomputing/13334_db9c0f2f4b6f960d_2415.txt | In this exposition, the existence of the solar surface will be briefly explored. Within the context of modern solar theory, the Sun cannot have a distinct surface. Gases are incapable of supporting such structures. The loss of a defined solar surface occurred in 1865 and can be directly attributed to Herv´e Faye (Faye ... |
quantumcomputing/22087_69ca229ec5299de3_1733.txt | We consider a hyperbolic dynamical system (X,f) and a Holder continuous cocycle A over (X,f) with values in GL(d,R), or more generally in the group of invertible bounded linear operators on a Banach space. We discuss approximation of the Lyapunov exponents of A in terms of its periodic data, i.e. its return values alon... |
quantumcomputing/9339_a38937c5090409ef_240.txt | • • iRx πα is universal for quantum computation whenever α is irrational. Exercise 4.45: Suppose U is a unitary transform implemented by an n qubit quantum and Toffoli gates. Show that U is of the circuit constructed from H, S, form 2−k/2 M , for some integer k, where M is a 2n ×2n matrix with only complex integer entr... |
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