Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Electronic Correlations in Multielectron Silicon Quantum Dots
Dylan Liang, M. Feng, Philip Y. Mai +3 more·Jul 5, 2024
Silicon quantum computing has the potential to revolutionize technology with capabilities to solve real-life problems that are computationally complex or even intractable for modern computers [1] by offering sufficient high quality qubits to perform ...
Kalman filter enhanced Adversarial Bayesian optimization for active sampling in inelastic neutron scattering
Nihad Abuawwad, Yixuan Zhang, Samir Lounis +1 more·Jul 5, 2024
Spin waves, or magnons, are fundamental excitations in magnetic materials that provide insights into their dynamic properties and interactions. Magnons are the building blocks of magnonics, which offer promising perspectives for data storage, quantum...
Multi-strategy based quantum cost reduction of quantum boolean circuits
Taghreed Ahmed, Ahmed Younes, Islam Elkabani·Jul 5, 2024
The construction of quantum computers is based on the synthesis of low-cost quantum circuits. The quantum circuit of any Boolean function expressed in a Positive Polarity Reed-Muller (PPRM) expansion can be synthesized using Multiple-Control Toffoli ...
Quantum channel learning.
Mikhail Gennadievich Belov, V. V. Dubov, A. V. Filimonov +1 more·Jul 5, 2024
The problem of an optimal mapping between Hilbert spaces IN and OUT, based on a series of density matrix mapping measurements ρ^{(l)}→ϱ^{(l)}, l=1⋯M, is formulated as an optimization problem maximizing the total fidelity F=∑_{l=1}^{M}ω^{(l)}F(ϱ^{(l)}...
Energy‐Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars
Jinzhan Li, Suhas Kumar, Su-in Yi·Jul 5, 2024
Constrained optimization underlies crucial societal problems, for instance, stock trading and bandwidth allocation. However, it is often computationally hard, in that complexity grows exponentially with problem size. The big‐data era urgently demands...
Limitations to Dynamical Error Suppression and Gate-Error Virtualization from Temporally Correlated Nonclassical Noise
Michiel Burgelman, Nattaphong Wonglakhon, D. N. Bernal-Garc'ia +2 more·Jul 5, 2024
Realistic multiqubit noise processes often result in error mechanisms that are not captured by the probabilistic Markovian error models commonly employed in circuit-level analyses of quantum fault tolerance. By working within an open-quantum system H...
Dynamic thermalization on noisy quantum hardware
Hugo Perrin, Thibault Scoquart, Andrei I. Pavlov +1 more·Jul 5, 2024
Emulating thermal observables on a digital quantum computer is essential for quantum simulation of many-body physics. However, thermalization typically requires a large system size due to incorporating a thermal bath, whilst limited resources of near...
Modelling Quantum Transduction for Multipartite Entanglement Distribution
Laura d'Avossa, Angela Sara Cacciapuoti, Marcello Caleffi·Jul 4, 2024
Superconducting and photonic technologies are envisioned to play a key role in the Quantum Internet. However the hybridization of these technologies requires functional quantum transducers for converting superconducting qubits, exploited in quantum c...
Quantum spectral method for gradient and Hessian estimation
Yuxin Zhang, Changpeng Shao·Jul 4, 2024
Gradient descent is one of the most basic algorithms for solving continuous optimization problems. In [Jordan, PRL, 95(5):050501, 2005], Jordan proposed the first quantum algorithm for estimating gradients of functions close to linear, with exponenti...
Low-latency machine learning FPGA accelerator for multi-qubit state discrimination
P. Gautam, Shantharam Kalipatnapu, Ujjawal Singhal +5 more·Jul 4, 2024
Measuring a qubit state is a fundamental yet error-prone operation in quantum computing. These errors can arise from various sources, such as crosstalk, spontaneous state transitions, and excitations caused by the readout pulse. Here, we utilize an i...
Overdispersion in Gate Tomography: Experiments and Continuous, Two-Scale Random Walk Model on the Bloch Sphere
Wolfgang Nowak, Tim Bruennette, Merel A. Schalkers +1 more·Jul 4, 2024
Noisy intermediate-scale quantum computers (NISQ) are computing hardware in their childhood, but they are showing high promise and growing quickly. They are based on so-called qubits, which are the quantum equivalents of bits. Any given qubit state r...
Continuous-time quantum optimization without the adiabatic principle
Robert J. Banks, Georgios S. Raftis, Dan E. Browne +1 more·Jul 4, 2024
Continuous-time quantum algorithms for combinatorial optimization problems, such as quantum annealing, have previously been motivated by the adiabatic principle. A number of continuous-time approaches exploit dynamics, however, and therefore are no l...
Deterministic entanglement swapping of W states
Sajede Harraz, Yueyan Wang, Shuang Cong·Jul 4, 2024
In this paper, we propose a deterministic entanglement swapping protocol for generating a shared three-qubit W state between two remote parties. Our method offers a reliable alternative to existing probabilistic protocols for W state entanglement swa...
Evaluation of phase shifts for nonrelativistic elastic scattering using quantum computers
F. Turro, Kyle A. Wendt, S. Quaglioni +2 more·Jul 4, 2024
Simulations of scattering processes are essential in understanding the physics of our universe. Computing relevant scattering quantities from ab initio methods is extremely difficult on classical devices because of the substantial computational resou...
Hybrid Quantum-Classical Machine Learning with String Diagrams
Alexander Koziell-Pipe, A. Kissinger·Jul 4, 2024
Central to near-term quantum machine learning is the use of hybrid quantum-classical algorithms. This paper develops a formal framework for describing these algorithms in terms of string diagrams: a key step towards integrating these hybrid algorithm...
Magic spreading in random quantum circuits
X. Turkeshi, E. Tirrito, P. Sierant·Jul 4, 2024
Magic is the resource that quantifies the amount of beyond-Clifford operations necessary for universal quantum computing. It bounds the cost of classically simulating quantum systems via stabilizer circuits central to quantum error correction and com...
QET: Enhancing Quantized LLM Parameters and KV cache Compression through Element Substitution and Residual Clustering
Yanshu Wang, Wang Li, Zhaoqian Yao +1 more·Jul 4, 2024
The matrix quantization entails representing matrix elements in a more space-efficient form to reduce storage usage, with dequantization restoring the original matrix for use. We formulate the Quantization Error Minimization (QEM) problem as minimizi...
Direct Estimation of the Density of States for Fermionic Systems
Matthew L. Goh, Bálint Koczor·Jul 3, 2024
Simulating time evolution is one of the most natural applications of quantum computers and is thus one of the most promising prospects for achieving practical quantum advantage. Here, we develop quantum algorithms to extract thermodynamic properties ...
Low variance estimations of many observables with tensor networks and informationally-complete measurements
Stefano Mangini, Daniel Cavalcanti·Jul 3, 2024
Accurately estimating the properties of quantum systems is a central challenge in quantum computing and quantum information. We propose a method to obtain unbiased estimators of multiple observables with low statistical error by post-processing infor...
Revealing symmetries in quantum computing for many-body systems
Robert van Leeuwen·Jul 3, 2024
We develop a method to deduce the symmetry properties of many-body Hamiltonians when they are prepared in Jordan–Wigner form in which they can act on multi-qubit states. Symmetries, such as point-group symmetries in molecules, are apparent in the sta...