Papers
Live trends in quantum computing research, updated daily from arXiv.
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Variational quantum imaginary time evolution for matrix product state Ansatz with tests on transcorrelated Hamiltonians.
Hao-En Li, Xiang Li, Jiachen Huang +5 more·Jul 15, 2024
The matrix product state (MPS) Ansatz offers a promising approach for finding the ground state of molecular Hamiltonians and solving quantum chemistry problems. Building on this concept, the proposed technique of quantum circuit MPS (QCMPS) enables t...
Building holographic code from the boundary
Wei Wang·Jul 14, 2024
Holographic quantum error-correcting code, the quantum-information structure hypothesized for the AdS/CFT correspondence, has being attracting increasing attention in new directions interrelating the studies of quantum gravity and quantum simulation....
Parallel Ising annealer via gradient-based Hamiltonian Monte Carlo
Hao Wang, Zixuan Liu, Zhixin Xie +4 more·Jul 14, 2024
Ising annealer is a promising quantum-inspired computing architecture for combinatorial optimization problems. In this paper, we introduce an Ising annealer based on the Hamiltonian Monte Carlo, which updates the variables of all dimensions in parall...
Practicality of a quantum adiabatic algorithm for chemistry applications
Etienne Granet, K. Ghanem, Henrik Dreyer·Jul 13, 2024
Despite its simplicity and strong theoretical guarantees, adiabatic state preparation has received considerably less interest than variational approaches for the preparation of low-energy electronic structure states. Two major reasons for this are th...
Benchmarking Quantum Gates and Circuits
Vinay Tripathi, Daria Kowsari, Kumar Saurav +3 more·Jul 13, 2024
Accurate noise characterization in quantum gates and circuits is vital for the development of reliable quantum simulations for chemically relevant systems and fault-tolerant quantum computing. This paper reviews a variety of key benchmarking techniqu...
DisQ: A Model of Distributed Quantum Processors (Extended Version)
Le Chang, Saitej Yavvari, Rance Cleaveland +3 more·Jul 12, 2024
The next generation of distributed quantum processors combines single-location quantum computing and quantum networking techniques to permit large entangled qubit groups to be established through remote processors, and quantum algorithms can be execu...
Controlization Schemes Based on Orthogonal Arrays
Anirban Narayan Chowdhury, E. Berg, P. Wocjan·Jul 12, 2024
Realizing controlled operations is fundamental to the design and execution of quantum algorithms. In quantum simulation and learning of quantum many-body systems, an important subroutine consists of implementing a controlled Hamiltonian time-evolutio...
Lower T-count with faster algorithms
Vivien Vandaele·Jul 11, 2024
Among the cost metrics characterizing a quantum circuit, the T-count stands out as one of the most crucial as its minimization is particularly important in various areas of quantum computation such as fault-tolerant quantum computing and quantum circ...
MagicPool: Dealing with Magic State Distillation Failures on Large-Scale Fault-Tolerant Quantum Computer
Yutaka Hirano, Yasunari Suzuki, Keisuke Fujii·Jul 10, 2024
Magic state distillation, which is a probabilistic process used to generate magic states, plays an important role in universal fault-tolerant quantum computers. On the other hand, to solve interesting problems, we need to run complex programs on faul...
An application of continuous-variable gate synthesis to quantum simulation of classical dynamics
S. Cochran, James Stokes, P. Jayakumar +1 more·Jul 10, 2024
Although quantum computing holds promise to accelerate a wide range of computational tasks, the quantum simulation of quantum dynamics as originally envisaged by Feynman remains the most promising candidate for achieving quantum advantage. A less exp...
Quantum and classical algorithms for nonlinear unitary dynamics
Noah Brustle, Nathan Wiebe·Jul 10, 2024
Quantum algorithms for Hamiltonian simulation and linear differential equations more generally have provided promising exponential speed-ups over classical computers on a set of problems with high real-world interest. However, extending this to a non...
Towards Efficient Quantum Computation of Molecular Ground State Energies using Bayesian Optimization with Priors over Surface Topology
Farshud Sorourifar, M. Rouabah, N. Belaloui +6 more·Jul 10, 2024
Variational Quantum Eigensolvers (VQEs) represent a promising approach to computing molecular ground states and energies on modern quantum computers. These approaches use a classical computer to optimize the parameters of a trial wave function, while...
A Randomized Method for Simulating Lindblad Equations and Thermal State Preparation
Hongrui Chen, Bowen Li, Jianfeng Lu +1 more·Jul 9, 2024
<jats:p> We study a qDRIFT-type randomized method to simulate Lindblad dynamics by decomposing its generator into an ensemble of Lindbladians, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> ...
Low-cost noise reduction for Clifford circuits
Nicolas Delfosse, Edwin Tham·Jul 9, 2024
We propose a Clifford noise reduction (CliNR) scheme that provides a reduction of the logical error rate of Clifford circuit with lower overhead than error correction and without the exponential sampling overhead of error mitigation. CliNR implements...
Cyclic solid-state quantum battery: thermodynamic characterization and quantum hardware simulation
Luca Razzoli, G. Gemme, Ilia Khomchenko +4 more·Jul 9, 2024
We introduce a cyclic quantum battery QB model, based on an interacting bipartite system, weakly coupled to a thermal bath. The working cycle of the battery consists of four strokes: system thermalization, disconnection of subsystems, ergotropy extra...
Colloquium: Synthetic quantum matter in non-standard geometries
Tobias Grass, Dario Bercioux, Utso Bhattacharya +3 more·Jul 8, 2024
Quantum simulation is making a significant impact on scientific research. The prevailing tendency of the field is to build quantum simulators that get closer to real-world systems of interest, in particular electronic materials. However, progress in ...
Improving the trainability of VQE on NISQ computers for solving portfolio optimization using convex interpolation
Shengbin Wang, Guihui Li, Zhimin Wang +5 more·Jul 8, 2024
Solving combinatorial optimization problems using variational quantum algorithms (VQAs) might be a promise application in the NISQ era. However, the limited trainability of VQAs could hinder their scalability to large problem sizes. In this paper, we...
Circuit Partitioning and Transmission Cost Optimization in Distributed Quantum Circuits
Xinyu Chen, Zilu Chen, P. Zhu +2 more·Jul 8, 2024
Given the limitations on the number of qubits in current noisy intermediate-scale quantum (NISQ) devices, the implementation of large-scale quantum algorithms on such devices is challenging, prompting research into distributed quantum computing. This...
Packing fraction related transport in disordered quantum dot arrays
K. Eshraghi, Shreyam Natani, P. Bandaru·Jul 8, 2024
Models to describe electrical conduction in quantum dot (QD) constituted films often overlook the effects of geometric disorder. We address related issues by examining the influence of the QD packing fraction (PF) on the charge transport and transmis...
Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches
Y. Cordero, S. Biswas, F. Vilariño +1 more·Jul 8, 2024
Quantum machine learning (QML) investigates how quantum phenomena can be exploited in order to learn data in an alternative way, \textit{e.g.} by means of a quantum computer. While recent results evidence that QML models can potentially surpass their...