Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
27,548
This Month
1,041
Today
0
Research Volume
12,892 papers in 12 months (-5% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Light cone cancellation for variational quantum eigensolver in solving noisy Max-Cut
Xinwei Lee, Xinjian Yan, Ningyi Xie +5 more·Apr 30, 2024
Variational Quantum Eigensolver (VQE) is a quantum-classical hybrid algorithm used to estimate the ground energy of a given Hamiltonian. It consists of a parameterized quantum circuit, which the parameters are optimized using a classical optimizer. W...
A general framework for active space embedding methods with applications in quantum computing
Stefano Battaglia, Max Rossmannek, V. Rybkin +2 more·Apr 29, 2024
We developed a general framework for hybrid quantum-classical computing of molecular and periodic embedding approaches based on an orbital space separation of the fragment and environment degrees of freedom. We demonstrate its potential by presenting...
Evaluating a quantum-classical quantum Monte Carlo algorithm with Matchgate shadows
Benchen Huang, Yi-Ting Chen, Brajesh Gupt +4 more·Apr 28, 2024
Solving the electronic structure problem of molecules and solids to high accuracy is a major challenge in quantum chemistry and condensed matter physics. The rapid emergence and development of quantum computers offer a promising route to systematical...
Variational optimization for quantum problems using deep generative networks
Lingxia Zhang, Xiaodie Lin, Peidong Wang +4 more·Apr 28, 2024
Optimization drives advances in quantum science and machine learning, yet most generative models aim to mimic data rather than to discover optimal answers to challenging problems. Here we present a variational generative optimization network that lea...
Revisiting Majumdar-Ghosh spin chain model and Max-cut problem using variational quantum algorithms
Britant, Anirban Pathak·Apr 28, 2024
In this work, energy levels of the Majumdar-Ghosh model (MGM) are analyzed up to 15 spins chain in the noisy intermediate-scale quantum framework using noisy simulations. This is a useful model whose exact solution is known for a particular choice of...
Quantum Multi-Agent Reinforcement Learning for Aerial Ad-Hoc Networks
Theodora Dragan, Akshat Tandon, Tom Haider +3 more·Apr 26, 2024
Quantum machine learning (QML) as combination of quantum computing with machine learning (ML) is a promising direction to explore, in particular due to the advances in realizing quantum computers and the hoped-for quantum advantage. A field within QM...
Benchmarking quantum optimization for the maximum-cut problem on a superconducting quantum computer
Maxime Dupont, Bhuvanesh Sundar, B. Evert +4 more·Apr 26, 2024
Achieving high-quality solutions faster than classical solvers on computationally hard problems is a challenge for quantum optimization to deliver utility. Using a superconducting quantum computer, we experimentally investigate the performance of a h...
A quantum annealing approach to the minimum distance problem of quantum codes
Refat Ismail, Ashish Kakkar, A. Dymarsky·Apr 26, 2024
Quantum error-correcting codes (QECCs) is at the heart of fault-tolerant quantum computing. As the size of quantum platforms is expected to grow, one of the open questions is to design new optimal codes of ever-increasing size. A related challenge is...
QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems
E. Osaba, Esther Villar-Rodriguez·Apr 24, 2024
In this paper, we propose a quantum computing oriented benchmark for combinatorial optimization. This benchmark, coined as QOPTLib, is composed of 40 instances equally distributed over four well-known problems: Traveling Salesman Problem, Vehicle Rou...
Guided-SPSA: Simultaneous Perturbation Stochastic Approximation Assisted by the Parameter Shift Rule
Maniraman Periyasamy, A. Plinge, Christopher Mutschler +2 more·Apr 24, 2024
The study of variational quantum algorithms (VQCs) has received significant attention from the quantum computing community in recent years. These hybrid algorithms, utilizing both classical and quantum components, are well-suited for noisy intermedia...
Runtime-coherence trade-offs for hybrid SAT-solvers
Vahideh Eshaghian, Soren Wilkening, Johan AAberg +1 more·Apr 23, 2024
Many search-based quantum algorithms that achieve a theoretical speedup are not practically relevant since they require extraordinarily long coherence times, or lack the parallelizability of their classical counterparts.This raises the question of ho...
Quantum-Enhanced Neural Exchange-Correlation Functionals
Igor O. Sokolov, Gert-Jan Both, Art D. Bochevarov +6 more·Apr 22, 2024
Kohn-Sham Density Functional Theory (KS-DFT) provides the exact ground state energy and electron density of a molecule, contingent on the as-yet-unknown universal exchange-correlation (XC) functional. Recent research has demonstrated that neural netw...
Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem
James Holliday, Braeden Morgan, Hugh Churchill +1 more·Apr 19, 2024
There has never been a more exciting time for the future of quantum computing than now. Real-world quantum computing usage is now the next XPRIZE. With that challenge in mind we have explored a new approach as a hybrid quantum-classical algorithm for...
The Localized Active Space Method with Unitary Selective Coupled Cluster.
Abhishek Mitra, Ruhee D'Cunha, Qiaohong Wang +5 more·Apr 19, 2024
We introduce a hybrid quantum-classical algorithm, the localized active space unitary selective coupled cluster singles and doubles (LAS-USCCSD) method. Derived from the localized active space unitary coupled cluster (LAS-UCCSD) method, LAS-USCCSD fi...
Compression of Quantum Shallow-Circuit States.
Yuxiang Yang·Apr 17, 2024
Shallow quantum circuits feature not only computational advantages over their classical counterparts but also cutting-edge applications. Storing quantum information generated by shallow circuits is a fundamental question of both theoretical and pract...
A quantum eigenvalue solver based on tensor networks
Oskar Leimkuhler, K. Birgitta Whaley·Apr 16, 2024
Electronic ground states are of central importance in chemical simulations, but have remained beyond the reach of efficient classical algorithms except in cases of weak electron correlation or one-dimensional spatial geometry. We introduce a hybrid q...
Simulating Electronic Structure on Bosonic Quantum Computers.
Rishab Dutta, Nam P Vu, Chuzhi Xu +7 more·Apr 16, 2024
Quantum harmonic oscillators, or qumodes, provide a promising and versatile framework for quantum computing. Unlike qubits, which are limited to two discrete levels, qumodes have an infinite-dimensional Hilbert space, making them well-suited for a wi...
A hybrid Quantum-Classical Algorithm for Mixed-Integer Optimization in Power Systems
P. Ellinas, Samuel Chevalier, Spyros Chatzivasileiadis·Apr 16, 2024
Mixed Integer Linear Programming (MILP) can be considered the backbone of the modern power system optimization process, with a large application spectrum, from Unit Commitment and Optimal Transmission Switching to verifying Neural Networks for power ...
Quantum Simulation of Open Quantum Dynamics via Non-Markovian Quantum State Diffusion
Yukai Guo, Xing Gao·Apr 16, 2024
Quantum simulation of non-Markovian open quantum dynamics is essential but challenging for standard quantum computers due to their non-Hermitian nature, leading to non-unitary evolution, and the limitations of available quantum resources. Here we int...
Dynamical mean field theory for real materials on a quantum computer
Johannes Selisko, Maximilian Amsler, Christopher Wever +6 more·Apr 15, 2024
Quantum computers (QC) could harbor the potential to significantly advance materials simulations, particularly at the atomistic scale involving strongly correlated fermionic systems, where an accurate description of quantum many-body effects scales u...