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quantumcomputing/10115_4138ecdb10326a58_21.txt | A human is programmed to detect optical light; he or she cannot sense infrared light or ultraviolet light. In that the human program is limited to optical light. I need to create a device to sense either infrared or ultraviolet light. Such a device is a hardware program because it performs the well-defined function of ... |
quantumcomputing/1629_3abeac199875c936_35.txt | where S is the action and the trajectory of the system must be such that it takes the minimal value in the time interval t2 − t1 . In other words, we expect a classical system to take the trajectory that ‘costs’ less action. The expression above is the (Riemann) integral over this time interval and the quantity dt, cal... |
quantumcomputing/9073_303b46c6a5f64744_111.txt | Applying this pattern means that a limited number of API versions are kept in production. The goal is to guarantee that API changes do not lead to undetected backward-compatibility problems between clients and the provider, especially with regard to their semantics. It does so through a compromise: changes to the clien... |
quantumcomputing/1629_ffec68556b99fa4a_121.txt | Epilepsy is a common finding in chromosomal imbalances, but only a few chromosome abnormalities have a characteristic electro-clinical pattern. Trisomy X is one of the most common sex chromosome abnormalities in females, and is associated with considerable phenotypic variability. This report describes four 47,XXX femal... |
quantumcomputing/17344_448faa23bbb7c10c_14.txt | "),42")] or obtained through calculation and matching of mathematical identities. These equivalences can be both technology-agnostic—i.e., applicable to all circuital structures and do not employ any quantum gate specific of a given target technology—and technology-specific, *i.e.,* focused on creating more advantageou... |
quantumcomputing/32894_649ed5de679e7c0d_59.txt | Using Principal Components for Classification and Prediction When the goal of the data reduction is to have a smaller set of attributes that will serve as predictors, we can proceed as follows: apply PCA to the predictors using the training data. Use the output to determine the number of principal components to be retai... |
quantumcomputing/13334_5e05a6e4e34af6dd_0.txt | We present a fault-tolerant universal quantum computing architecture based on a code concatenation of biased-noise qubits and the parity architecture. The parity architecture can be understood as an LDPC code tailored specifically to obtain any desired logical connectivity from nearest-neighbor physical interactions. T... |
quantumcomputing/2270_2ed2d1df17fe28a3_339.txt | The dendrite is a linear operator acting (like a linear matrix operator according to Koch) on the encoded (positive or negative) amplitudes. By the way, the brain can give you what is called an Excitatory Post Synaptic Potential (EPSP) or an Inhibitory Post Synaptic Potential (IPSP). When you place either on a dendrite... |
quantumcomputing/14994_cdd61dafb85483f2_130.txt | The running time of Grover’s algorithm on a quantum computer will scale as the square root of the number of inputs (or elements in the database), as opposed to the linear scaling of classical algorithms. A general class of problems to which Grover’s algorithm can be applied is Boolean satisfiability problem. In this in... |
quantumcomputing/38735_4268de2ba98204ef_118.txt | In two-dimensional string theory, a probe D0-brane does not see the black hole singularity due to a cancellation between its metric coupling and the dilaton coupling. A similar mechanism may work in the Schwarzschild black hole in large $D$ dimensions by considering a suitable wrapped membrane. From the asymptotic obse... |
quantumcomputing/32894_c65187f488c01dde_1190.txt | Federated learning (FL) is an emerging distributed learning framework that collaboratively trains a d model without transferring the local clients' data to a centralized server. Motivated by concerns stemming from extended communication and potential attacks, one-shot FL limits communication to a single round while att... |
quantumcomputing/9db37ba8_3540.txt | These authors contributed equally: Zeguo Wang, Muxi Zheng. |
quantumcomputing/22087_db9c0f2f4b6f960d_264.txt | As in spite to intense search at present apparently there is no approach leading to a theory including the standard model of particle physics and general relativity, it is discussed whether such a theory is possible at all. In the following is shown that a ToE is possible if the either/or condition of current unificati... |
quantumcomputing/22108_db9c0f2f4b6f960d_804.txt | In real life, occurrences of a series of things are supposed to come in an order. Therefore, it is necessary to regard sequence as a crucial factor in managing different kinds of things in fuzzy environment. However, few related researches have been made to provided a reasonable solution to this demand. Therefore, how ... |
quantumcomputing/175_40094682244c3a83_765.txt | In this work, our goal is to train agents that can coordinate with seen, unseen as well as human partners in a multi-agent communication environment involving natural language. Previous work using a single set of agents has shown great progress in generalizing to known partners, however it struggles when coordinating w... |
quantumcomputing/14994_bb89c4acbf2bb616_0.txt | *Table of contents : Volume 1 : Theory Contents 1.1. Unconventional Computation 1.1.1. Implications 1.2. Computation in General 1.2.1. Topology of information representation 1.2.2. Topology of information processing 1.2.3. Programmability 1.2.4. Universality 1.3. Embodied Computation 1.3.1. Definition 1.3.2. Physics fo... |
quantumcomputing/1226_889bcb3d28cecf3a_86.txt | To implement fault-tolerant quantum computation with continuous variables, the Gottesman-Kitaev-Preskill (GKP) qubit has been recognized as an important technological element. However, it is still challenging to experimentally generate the GKP qubit with the required squeezing level, 14.8 dB, of the existing fault-tole... |
quantumcomputing/32894_979fc1e5faab2aa1_615.txt | Offline reinforcement learning (RL) algorithms are applied to learn performant, well-generalizing policies when provided with a static dataset of interactions. Many recent approaches to offline RL have seen substantial success, but with one key caveat: they demand substantial per-dataset hyperparameter tuning to achiev... |
quantumcomputing/16341_16a55bc42dde3474_28.txt | What makes the discussion so confusing is that *ultimately* energy should be a property only of a state, with the Hamiltonian fixed by the laws of physics of our universe—but to make that explicit, we need to pass to a larger system in which our qubits are immersed. And if we care about absolute energy, rather than *di... |
quantumcomputing/175_40094682244c3a83_1923.txt | A central challenge in training classification models in the real-world federated system is learning with non-IID data. To cope with this, most of the existing works involve enforcing regularization in local optimization or improving the model aggregation scheme at the server. Other works also public datasets or synth... |
quantumcomputing/44116_58b87e4807ca5e69_58.txt | classical fundamental result, the existence of listable sets of natural numbers for which there is no algorithm for recognizing, given a natural number a, whether it belongs to the set or not. Davis conjecture is much stronger than what would be sufficient for proving the undecidability of Hilbert’s tenth problem. Name... |
quantumcomputing/14816_6b5eb0c4e42e043c_218.txt | So let's see this one example of a nonrelativizing technique. So we've got a Boolean formula (like the ones used in SAT) in n variables which is not satisfiable. What we'd like is a proof that it's not satisfiable. That is, we'd like to be convinced that there is no setting of the n variables that causes our formula to... |
quantumcomputing/24212_45e264729078187e_265.txt | Abstract *We present GenEFT: an effective theory framework for shedding light on the statics and dynamics of neural network generalization, and illustrate it with graph learning examples. We first investigate the generalization phase transition as data size increases, comparing experimental results with information-the... |
quantumcomputing/14994_2ed2d1df17fe28a3_290.txt | In response to J #583, therefore, “even classical mechanics can be formulated from multiple perspectives (Newtonian / Lagrangian / Hamiltonian)”, I find it helpful to add to that list Koopman’s Hilbert space formalism for classical mechanics (Koopmanian? Koopmannian?), and even more so to use an algebraic approach to K... |
quantumcomputing/8729_23e9aeec4fe3bb40_871.txt | Spirals. Exposing yourself to good memes. Belief. Vsugerování. Metody. Psychoterapie. Smart friends. Drugs. Meditation. All models just have predictibility power, everything else is just play. Morals are one possible software in the space of morals. Same with ontologies. What causes dissonance or removes boredom (reinf... |
quantumcomputing/34011_a5801def072ec91c_2169.txt | There has been much debate over whether it is legitimate to nounify the quantificational reading of no-thing. Those who are sceptical would say that the ambiguous ‘nothing’ is really not ambiguous at all and should only be understood as a (lack of) quantity, rather than a thing itself. They might further argue that it ... |
quantumcomputing/32894_979fc1e5faab2aa1_701.txt | As AI integrates into human societies, its ability to engage in collective action is increasingly important. Human social systems have large and flexible strategy spaces, conflicting interests, power asymmetry, and interdependence among members, which together make it challenging for agents to learn collective action. ... |
quantumcomputing/17ba0685_5192.txt | Algorithmic Game Theory Mechanism Design: Incentive compatibility conditions, revelation principles. Computational Complexity in AI Quantum Algorithms: Grover’s and Shor’s algorithms, implications for AI in solving optimization and factorization problems. |
quantumcomputing/34793_74dcaa7adf2cb6cc_32.txt | Galileo (1623) already had suggested that the analysis of phenomena like heat and pressure could be reduced to the study of movements of elementary particles. Within the empirical methodology this could be conceived as the question how the sensory experience of the secondary quality of heat of an object or a gas could ... |
quantumcomputing/32894_74845111e5423cd6_240.txt | High Altitude Balloons (HABs) can leverage opposing stratospheric wind layers for energy-efficient maneuvering to support persistent missions including surveillance and reconnaissance, high fidelity in-situ atmospheric sensing, and communication networks. The ability for a single HAB to maneuver is completely dependent... |
quantumcomputing/9073_a8a638dc956ff973_81.txt | | | | | | --- | --- | --- | | image file: d2cs00203e-f18.tif | | | | | **Fig. 18** (a) A schematic representation of a typical LSTM network as implemented in a classical processor. The three different processing gates – forget gate, input gate and output gate are illustrated (see text for details) along with the m... |
quantumcomputing/45da3695_122227.txt | For example, suppose we want to find a node that satisfies three conditions: latency lt; 20ms, uptime gt; 99 , and memory usage lt; 60 . Each condition is checked using logical circuits built with quantum gates. Ancilla qubits hold the intermediate results of these checks. |
quantumcomputing/8337_01340d24a5dea1fa_286.txt | * Presenter: Debra Fischer, Yale University * Host: Scott Diddams * Abstract: Exoplanets are an important subfield of astronomy and there has been an impressive rate of discovery over the past two decades. Hundreds of exoplanets have been detected using the Doppler technique and the NASA Kepler mission discovered thous... |
quantumcomputing/79ad9ba1_114169.txt | A fiber associated to ((z_1, z_2) ) is (z_1 e i theta , , z_2 e i theta ), quad theta in 0, 2 pi). After stereographic projection to ( mathbb R 3 ), the points are mathbf p left( tfrac x_1 1 - x_4 , , tfrac x_2 1 - x_4 , , tfrac x_3 1 - x_4 right). |
quantumcomputing/5ff33ca3_125740.txt | Notice that the second question is a more qualitative style of question than the earlier questions. Your answer may not exactly match the answer given. It's up to you to decide whether you want to mark yourself correct or not. Ask yourself: have I really understood the core point? If so, mark yourself correct. If not, ... |
quantumcomputing/22087_69ca229ec5299de3_17.txt | The Balog-Szemeredi-Gowers theorem is a widely used tool in additive combinatorics, and it says, roughly, that if one has a set A such that the sumset A+A is "concentrated on few values," in the sense that these values v each get to n representations as v = a+b, with a,b in A, then there is a large subset A' of A such... |
quantumcomputing/14816_889bcb3d28cecf3a_13.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/9769_2ed2d1df17fe28a3_75.txt | Suppose we have an experiment that produces a list of numbers, from which we construct relative frequencies. Suppose we use a continuous probability density as an ideal model for those frequencies. We can ask what the probability density at the value x is, and get back p(x). Suppose now we use different coordinates, so... |
quantumcomputing/2270_2ed2d1df17fe28a3_310.txt | What is it about QM that makes it weird? It comes down to superposition. Everything else factors in to the nuts-and-bolts mechanics question. If the world didn’t have superposition, it would be classical. You might still be interested in why these specific whatever mathematical tools are needed to describe it, and it’s... |
quantumcomputing/34793_baea7bc0d09df8ad_229.txt | In essence, then, Andrews reverses the traditional “neurocentric” argument of consciousness. Whereas the common assumption is that consciousness is (somehow) related to the complexity of the nervous system, but because all neurobiological advances, collectively, have not progressed in solving the hard problem, then per... |
quantumcomputing/20750_708291c4f743195c_27.txt | localhost:~$ echo "And so, as we stand on the brink of new discoveries and uncharted realms of thought, let us remember the words of Rene Descartes: 'I think, therefore I am.' In the act of thinking, questioning, and exploring, we affirm our very existence - not merely as passive observers, but as active participants i... |
quantumcomputing/14816_5f2deb247b7d4485_301.txt | quantum interpretation was best summed up by Paul Ehrenfest who witnessed the Bohr–Einstein debates. He once wrote, “Brussels-Solvay was fine! … BOHR towering over everybody. At first not understood at all …, then step by step defeating everybody. Naturally, once again the awful Bohr incantation terminology. Impossible... |
quantumcomputing/1fcb3f8d_120877.txt | positively ionised . Similarly, if a hydrogen atom can sometimes bind another electron to it, such a hydrogen atom is said to be negatively ionised . In astronomy, the former kind of ionisation is much more common. |
quantumcomputing/2482a92e_12628.txt | Yao Qiang · Deng Pan · Chengyin Li · Xin Li · Rhongho Jang · Dongxiao Zhu Transformers have improved the state-of-the-art in various natural language processing and computer vision tasks. However, the success of the Transformer model has not yet been duly explained. Current explanation techniques, which dissect either ... |
quantumcomputing/27984_38560fa2475fab4d_25.txt | Logistic Regression is useful for categorical output variable. An input x𝑥xitalic\_x is said to belong to a particular class y𝑦yitalic\_y or not, corresponding to P(y=1|x)𝑃𝑦conditional1𝑥P(y=1|x)italic\_P ( italic\_y = 1 | italic\_x ) (positive decision) or P(y=0|x)𝑃𝑦conditional0𝑥P(y=0|x)italic\_P ( italic\_y ... |
quantumcomputing/17894_c1915a43868ac94e_2.txt | The quantum internet111 In current literature, “quantum internet” and “quantum networks” are often used interchangeably due to the nascent state of the field. In this paper, however, when we use “quantum internet” we refer to its broader vision, impact, and potential applications, whereas “quantum networks” denotes the... |
quantumcomputing/1629_3abeac199875c936_177.txt | respectively. As we have seen, this result is due to interference between two “alternatives”: photon taking the upper path and photon taking the lower path. This justifies the notation above where the subscript u + d means that the photon can take both paths. If we block the lower path by inserting a movable screen S b... |
quantumcomputing/17894_afb95353be58d856_50.txt | Bosonic quantum error correcting codes encode a qubit into the Hilbert space of a harmonic oscillator and have seen recent experimental progress, including demonstrations of break even performance. Bosonic rotation codes are characterized by a discrete rotation symmetry in their Wigner functions and include the cat and... |
quantumcomputing/1629_3abeac199875c936_733.txt | pairs. In accordance with the VSEPR (valence–shell electron pair repulsion theory), here, the bond angles between the electron bonds are arccos(1/3) = 109.47◦ . For example, methane (CH4) is a tetrahedral molecule. Octahedral: the bond angle is 90 degrees. For example, sulphur hexafluoride (SF6) is an octahedral molecu... |
quantumcomputing/57dcae8e_123940.txt | Relation to Toffoli: Although CCZ and Toffoli have different effects (phase flip vs. bit flip), they are closely related. You can convert one into the other by conjugating with Hadamards on the target qubit. Specifically, CCZ H (on target) CCX (Toffoli) H (on target). Applying Hadamard before and after turns an ... |
quantumcomputing/8337_03d7507a27b4708c_111.txt | two-port (transmission measurement) technique discussed above, the one-port (reflection measurement) technique can also be employed to determine the quality factor of a resonator [18]. 5.4.3.3.2 CPW Microwave Resonator As discussed in Section 5.3.3.3, planar qubits commonly employ CPW transmission lines. Figure 5.40(a... |
quantumcomputing/14994_ebeb95a89c78f21f_62.txt | diagram is made from a metal called niobium (in contrast to conventional transistors which are mostly made from silicon). When this metal is cooled down, it becomes what is known as a superconductor, and it starts to exhibit quantum mechanical effects. “A regular transistor allows you to encode 2 different states (usin... |
quantumcomputing/16776_5e68663f418490bf_389.txt | This paper investigates the logistic bandit problem, a variant of the generalized linear bandit model that utilizes a logistic model to depict the feedback from an action. While most existing research focuses on the binary logistic bandit problem, the multinomial case, which considers more than two possible feedback va... |
quantumcomputing/bf436e94_0986.txt | This section aims to broaden our perspective by pointing out some QUBO problems beyond scheduling that are relevant to the space or aerial sectors and for which QA or hybrid QA techniques have been successfully utilized. A comprehensive review of the literature goes beyond our scope, which is to provide an insightful o... |
quantumcomputing/22087_db9c0f2f4b6f960d_849.txt | In this work it is shown how absolute simultaneity of spatially distinct events can be established by means of a general criterion based on isotropically propagating signals and how it can be consistently preserved also when operating with Lorentz-like coordinate transformations between moving frames. The specific inva... |
quantumcomputing/eb8339c2_13755.txt | QSim is the quantum simulator available with the Cirq framework and it is an SV-simulator. It is written in C++ and exploits the OpenMP API for efficient quantum simulation using multi-threading and vectorized instructions. It can simulate up to 40 qubits with an intel 90-core xenon processor. Google Cloud supports CPU... |
quantumcomputing/35883_a8a638dc956ff973_21.txt | | | | | | --- | --- | --- | | image file: d2cs00203e-f3.tif | | | | | **Fig. 3** Commonly used circuit representation of (a) 1-qubit gates and (b) 2-qubit gates. Special gates in this category like CNOT and CZ gates have slightly different representations than the rest as has been highlighted within the oval windo... |
quantumcomputing/8729_6b5eb0c4e42e043c_291.txt | have some element that can be objected to as being "unphysical." For example, some solutions involve wormholes, but that requires "exotic matter" having negative mass to keep the wormhole open. 1 They all, so far, involve either nonstandard cosmologies or else types of matter or energy that have yet to be experimentall... |
quantumcomputing/24212_b745cf4a986576b6_57.txt | Reservoir Computing (RC) is a simple and efficient machine learning (ML) framework for learning and forecasting the dynamics of nonlinear systems. Despite RC's remarkable successes—for example, learning chaotic dynamics—much remains unknown about its ability to learn the behavior of complex systems from data (and data ... |
quantumcomputing/1629_3abeac199875c936_573.txt | Outcome and Preparation It is opportune to come back here to the issue of coarse-grained events and outcomes (Sects. 5.1.1 and 5.1.5). When we prepare a system, the physical outcome (the system whether passes the test or not and is absorbed) is represented by projections, as said. This is the quantum event. However, pr... |
quantumcomputing/2258_2ace7211bec9884e_14.txt | | Scale | Quality | Speed | | --- | --- | --- | | Measured with the number of qubits. | Measured in the terms of QV. | Measured by the time taken for executing a circuit. | | Expresses how much information that can be encoded and processed. | Defined as the size of the largest square circuit with two-qubit gates that c... |
quantumcomputing/4628_578753610752009e_301.txt | where a · c = a1 c1 + . . . + ak ck , the number of places in which the two bit strings are both 1. Now we are ready to begin our analysis of the Deutsch–Jozsa algorithm, which is laid out in Fig. 18.9. The k + 1 qubits start out in the state 0k , 0 . • The input state is prepared by applying a Hadamard gate to each ... |
quantumcomputing/35883_a8a638dc956ff973_237.txt | Generative models are suitable for feature extraction apart from doing domain sampling. Within every layer of one such network, one could imagine some form of feature extraction being made to provide for a compact representation, which might later be used by generative models to learn the distribution of classifiers to... |
quantumcomputing/6245_7a0f56a6bb79783d_38.txt | The Chinese Room argument is precisely that in doing this elaborate mental dance, which feels to you absolutely nothing like understanding what you are saying and therefore speaking Chinese, you are (by hypothesis) nevertheless able to cogently vocalize Chinese locutions. And therefore, the Turing Test wants to say tha... |
quantumcomputing/29980_684161dc888e2e73_14.txt | Setting aside hypercomputers, even if we restrict ourselves only to Turing-computable functions, one can still find many proposals in the literature that purport to display “short-cuts” in computational resources. Consider, e.g., the DNA model of computation that was claimed (Adleman 1994; Lipton 1995) to solve **NP**-... |
quantumcomputing/cf2a94f0_11026.txt | Presenting Author: Ilon Joseph, Laurence Livermore National LaboratoryContributing Author(s): Buvanesh Sundar, Yuan Shi, Frank R. Graziani, Sheindel Gamerberg, Amy F. Brown, Vasily I. Geyko, Ivan Novikau, Roger W. Minich, Vinay Tripathi, Daniel Lidar, Yujin Cho, Bram Evert Quantum computing may one day enable the direc... |
quantumcomputing/4693_895a10efa5917d6e_38.txt | Low-density parity (LDPC) codes are a well known class of Pauli stabiliser Hamiltonians that furnish fixed-point realisations of nontrivial gapped phases such as symmetry breaking and topologically ordered (including fracton) phases. In this work, we propose symmetry-preserving deformations of these models, in the pre... |
quantumcomputing/8729_23e9aeec4fe3bb40_151.txt | Natural Sciences: 1. Origin of life 2. Nature of dark matter and dark energy 3. Quantum gravity and unification of fundamental forces 4. Consciousness and the hard problem of consciousness 5. Mechanism of high-temperature superconductivity 6. Solving the protein folding problem 7. Cause of the Cambrian explosion 8. Mec... |
quantumcomputing/27984_38560fa2475fab4d_86.txt | The work (Miyabe et al., 2023) involved a hybrid, quantum multiple kernel learning (QMKL) approach aimed at enhancing classification quality compared to a single kernel method. Robustness testing of QMKL was conducted across various financially relevant datasets utilizing both fidelity and projected quantum kernel tech... |
quantumcomputing/9339_98bc330e6ca89479_472.txt | Let us begin with a general of the apparatus, whose workings will be mathe¬ matically modeled in detail later. The two main parts of a pulsed NMR system for liquid samples, which we shall focus on here, are the sample and the NMR spectrometer. A typical molecule which might be used would contain a number n of protons ... |
quantumcomputing/13334_db9c0f2f4b6f960d_1073.txt | The Khalimsky topology plays a significant role in the digital image processing. In this paper we define a topology $\kappa\_1$ on the set of integers generated by the triplets of the form $\{2n, 2n+1, 2n+3\}$. We show that in this space $(\mathbb{Z}, \kappa\_1)$, every point has a smallest neighborhood and hence this ... |
quantumcomputing/cf2a94f0_10191.txt | Presenting Author: Ilon Joseph, Laurence Livermore National LaboratoryContributing Author(s): Buvanesh Sundar, Yuan Shi, Frank R. Graziani, Sheindel Gamerberg, Amy F. Brown, Vasily I. Geyko, Ivan Novikau, Roger W. Minich, Vinay Tripathi, Daniel Lidar, Yujin Cho, Bram Evert Quantum computing may one day enable the direc... |
quantumcomputing/25925_723fd0fbfe5d7a11_642.txt | In earlier work, it has been shown that Frobenius algebras with certain properties can be used to simulate classical data. They are especially useful because in their deffnition itself they incorporate the most major difference between classical and quantum data- which is the absence of copying and deleting operations ... |
quantumcomputing/17894_42dd6baf431f5528_4.txt | The aspects discussed and described in this introductory review article on quantum computing with photons will be first on how to encode quantum information onto photons. We will link the physical implementations of using light to the mathematical of photons for physicists using the so-called Fock states which are qua... |
quantumcomputing/20712_178754fff311c8b6_265.txt | But only one in 50 can come up with this sole instance in a modern business school—one of the business schools being Stanford, which is hard to get into. And nobody has yet come up with the main answer that I like. Suppose you raise that price and use the extra money to bribe the other guy’s purchasing agent? Is that g... |
quantumcomputing/22108_db9c0f2f4b6f960d_2311.txt | Warp Drives are solutions of the Einstein Field Equations that allows superluminal travel within the framework of General Relativity. There are at the present moment two known solutions: The Alcubierre warp drive discovered in $1994$ and the Natario warp drive discovered in $2001$. The major drawback concerning warp dr... |
quantumcomputing/e1d70290_121034.txt | It is also possible to reexpress the nonrelativistic time evolution in terms of propagators going toward the past, since the Schrödinger equation is time-reversible. The past propagator is the same as the future propagator except for the obvious difference that it vanishes in the future, and in the Gaussian t is replac... |
quantumcomputing/32894_1a8f0330de3b41ea_411.txt | The use of anchors often leads to better efficiency and scalability, making them highly favored. However, there is a challenge in anchor-based multi-view subspace learning. A unified anchor graph overly emphasize the commonality between views, failing to adequately capture the view-specific individuality. This has led ... |
quantumcomputing/38735_191a07377e1b70f3_67.txt | Intuitively, formulas for the cup product can be obtained by shifting three sublattices slightly into a generic position with respect to another, such that the intersection between the membranes becomes unambiguous. Note that in the example in Section III, the three toric codes are already defined on three separate lat... |
quantumcomputing/42549af3_14186.txt | Add this session to my calendar Date: Thursday, 17 March 2022Time: 11:30 CET - 12:15 CET Interactive Presentations (IPs) run simultaneously during a 45-minute slot. Authors of IPs are available to present their work and answer to questions throughout the session. |
quantumcomputing/3021073f_115625.txt | qc QuantumCircuit(2) qc.x(1) qc.cx(1,0) qc.x(1) display(qc.draw()) Operator(qc).draw('latex', prefix ' overline C X ') begin split overline C X begin bmatrix 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 1 end bmatrix end split |
quantumcomputing/14994_ebeb95a89c78f21f_66.txt | 9.1.3 Ions Trapped ions can also be used as the physical implementation of qubits. The qubit value is stored as an electronic state for each ion. This of course requires stable ions. Fortunately, there are a number of such stable ions. A common approach used in trapped ions for quantum computing is the Paul ion trap, ... |
quantumcomputing/32894_c65187f488c01dde_15.txt | In streaming settings, speech recognition models have to map sub-sequences of speech to text before the full audio stream becomes available. However, since alignment information between speech and text is rarely available during training, models need to learn it in a completely self-supervised way. In practice, the exp... |
quantumcomputing/32894_979fc1e5faab2aa1_650.txt | Recent empirical evidence suggests that real-world networks have very low underlying dimensionality. We provide a theoretical explanation for this phenomenon as well as develop a linear-time algorithm for detecting the underlying dimensionality of such networks. Our theoretical analysis considers geometric inhomogeneou... |
quantumcomputing/9339_a38937c5090409ef_230.txt | operation, with the target qubit located at the single bit where gm−1 and gm differ, and then to undo the first stage, transforming |gm−1 → |gm−2 → . . . → |g1 . Each of these steps can be easily implemented using operations developed earlier in this chapter, and the final result is an implementation of U . A more p... |
quantumcomputing/37355_e4427061f6aeb8f8_110.txt | and that when this outcome occurs the normalized post-measurement state is E a |ψi . (3.16) kE a |ψik If the measurement is performed and its outcome is not known, the initial pure state of the system becomes a mixture of these post-measurement states: X E a |ψihψ|E a X = Prob(a) E a |ψihψ|E a . (3.17) hψ|E a |ψi a a I... |
quantumcomputing/fdbaa168_0653.txt | If our subcircuit is a pure quantum circuit (i.e. it corresponds to a unitary operation), we can construct the controlled version that is applied coherently according to some set of control qubits. If all control qubits are in the \(|1\rangle\) state, then the unitary is applied to the target system, otherwise it acts ... |
quantumcomputing/bf1746cb_114977.txt | Many recent PQCs mappings have been proposed based on tensor network models such as MPS, qMERA, and the Tree Tensor Network structure Martín et al. ; Zhao and Gao . qMERA, for instance, has been used as a circuit architecture to study long-range correlations with feasible numbers of qubits. Anand et al. (2023). Another... |
quantumcomputing/9ab29d86_124035.txt | In the following we derive some of the circuit equivalences from the main text. Let us start by describing some features that we will be using, that are illustrated in Fig. 9: |
quantumcomputing/6d6bbcae_3183.txt | For more information about colloquia this semester, contact: Leo Radzihovsky. Colloquia were Wednesdays at 4:40 p.m. unless otherwise noted and will be in person at DUAN G1B20, as well as online via zoom and Youtube. |
quantumcomputing/4554_67376b44df69bab4_30.txt | * A template class, `qml.ftqc.GraphStatePrep`, has been added for the Graph state construction. (#6985) (#7092) * A new utility module `qml.ftqc.utils` is provided, with support for functionality such as dynamic qubit recycling. (#7075) * A new class, `qml.ftqc.QubitGraph`, is now available for representing a qubit mem... |
quantumcomputing/22108_db9c0f2f4b6f960d_2903.txt | Natario Warp Drive is one of the most exciting Spacetimes of General Relativity.It was the second Spacetime Metric able to develop Superluminal Velocities.However in the literature about Warp Drives the Natario Spacetime is only marginally quoted. Almost all the available literature covers the Alcubierre Warp Drive. It... |
quantumcomputing/24212_3fc4c296cc68989d_31.txt | Understanding the transport properties of graphene also includes its behaviour in the presence of a strong – quantising – magnetic field. As a truly 2d electron system, graphene displays the fundamental phenomenon of quantum Hall effect (QHE),146–150 which consists in the precise quantisation of Hall resistance of the ... |
quantumcomputing/27984_a6019ccf7080d97d_340.txt | Event-related analyses of electrophysiological data (ERF in MEG data) have extensively described the temporal dynamics of the brain response during working memory (WM). The extracted features, such as the P300 in EEG data, have helped understand cognitive processing and are also used in the clinic to investigate pathol... |
quantumcomputing/34011_a5801def072ec91c_2674.txt | The term “actual infinity” is now very different. There are actual infinities in the technical, post-1880s sense, which are neither endless, unlimited, nor immeasurable. A line segment one meter long is a good example. It is not endless because it is finitely long, and it is not a process because it is timeless. It is ... |
quantumcomputing/2258_b393da4e2e72ed8a_84.txt | I’ve numbered the code’s statements for easy reference. Refer back to the code’s statement numbers as you read the explanations that follow: • Statement 1 creates 100 circuits. In each circuit, the software randomly decides whether Alice generates 0 or 1, whether or not Alice applies the Hadamard gate before sending th... |
quantumcomputing/175_40094682244c3a83_87.txt | Studies on self-supervised visual representation learning (SSL) improve encoder backbones to discriminate training samples without labels. While CNN encoders via SSL achieve comparable recognition performance to those via supervised learning, their network attention is under-explored for further improvement. Motivated ... |
quantumcomputing/f826360e_7398.txt | Our apparatus, shown in Fig. 2a, consists of two trapped-ion modules, Alice and Bob, each co-trapping one 88Sr+ ion and one 43Ca+ ion (Methods). The Ca+ ion provides a magnetic-field-insensitive ‘circuit’ qubit, \({{\mathcal{Q}}}_{{\rm{C}}}:\,=\{| {0}_{{\rm{C}}}\rangle \equiv | F=4,{m}_{F}=0\rangle ,| {1}_{{\rm{C}}}\ra... |
quantumcomputing/16785_8ecc1c53b3b42b31_120.txt | step (1) leaves the conjunction of the in b but changes the contents of c in the process. Step (2) undoes these changes to c. Since the first Flip uses 2(m — 2) + 1 Toffoli gates and the second Flip uses 2 (m — 3) + 1 Toffoli gates, AndTemp requires Am — 8 gates. An attractive feature of this construction of AndTemp is... |
quantumcomputing/d8e8dc8c_120206.txt | 1. Φ 1 2 ( 00 11 ) displaystyle Phi - rangle frac 1 sqrt 2 ( 00 rangle - 11 rangle ) 1 2 2 ( ( A A ) ( B B ) ( A A ) ( B B ) ) displaystyle frac 1 2 sqrt 2 (( rangle _ A - rangle _ A )( rangle _ B - r... |
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