Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,524 papers in 12 months (-19% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Stabilization of discrete time-crystalline response on a superconducting quantum computer by increasing the interaction range
Andrea Solfanelli, S. Ruffo, S. Succi +1 more·May 23, 2023
The simulation of complex quantum many-body systems is a promising short-term goal of noisy intermediate-scale quantum (NISQ) devices. However, the limited connectivity of native qubits hinders the implementation of quantum algorithms that require lo...
NISQ-compatible approximate quantum algorithm for unconstrained and constrained discrete optimization
M. Perelshtein, A. Pakhomchik, Artem Melnikov +7 more·May 23, 2023
Quantum algorithms are getting extremely popular due to their potential to significantly outperform classical algorithms. Yet, applying quantum algorithms to optimization problems meets challenges related to the efficiency of quantum algorithms train...
Variational quantum algorithms on cat qubits
Anne-Solene Bornens, Michel Nowak·May 23, 2023
Variational Quantum Algorithms (VQA) have emerged with a wide variety of applications. One question to ask is either they can efficiently be implemented and executed on existing architectures. Current hardware suffers from uncontrolled noise that can...
TornadoQSim: An Open-source High-Performance and Modular Quantum Circuit Simulation Framework
Aleš Kubíček, Athanasios Stratikopoulos, J. Fumero +2 more·May 23, 2023
In this article, we present TornadoQSim, an open-source quantum circuit simulation framework implemented in Java. The proposed framework has been designed to be modular and easily expandable for accommodating different user-defined simulation backend...
On the Impossibility of General Parallel Fast-forwarding of Hamiltonian Simulation
Nai-Hui Chia, Kai-Min Chung, Yao-Ching Hsieh +3 more·May 21, 2023
Hamiltonian simulation is one of the most important problems in the field of quantum computing. There have been extended efforts on designing algorithms for faster simulation, and the evolution time $T$ for the simulation turns out to largely affect ...
Randomized adiabatic quantum linear solver algorithm with optimal complexity scaling and detailed running costs
David Jennings, Matteo Lostaglio, Sam Pallister +2 more·May 19, 2023
Solving linear systems of equations is a fundamental problem with a wide variety of applications across many fields of science, and there is increasing effort to develop quantum linear solver algorithms. [Subaşi et al., Phys. Rev. Lett. (2019)] propo...
Quantum simulations of SO(5) many-fermion systems using qudits
Marc Illa, C. Robin, M. Savage·May 19, 2023
The structure and dynamics of quantum many-body systems are the result of a delicate interplay between underlying interactions, which leads to intricate entanglement structures. Despite this apparent complexity, symmetries emerge and have long been u...
Quantum channel decomposition with preselection and postselection
R. Nagai, Shutaroh Kanno, Yuki Sato +1 more·May 19, 2023
The quantum channel decomposition techniques, which contain the so-called probabilistic error cancellation and gate/wire cutting, are powerful approach for simulating a hard-to-implement (or an ideal) unitary operation by concurrently executing relat...
Noise-adapted recovery circuits for quantum error correction
Debjyoti Biswas, G. Vaidya, Prabha Mandayam·May 18, 2023
Implementing quantum error correction (QEC) protocols is a challenging task in today's era of noisy intermediate-scale quantum devices. We present quantum circuits for a universal, noise-adapted recovery map, often referred to as the Petz map, which ...
Errors in heralded circuits for linear optical entanglement generation
Reece D. Shaw, Alex E. Jones, Patrick Yard +1 more·May 15, 2023
The heralded generation of entangled states underpins many photonic quantum technologies. As quantum error correction thresholds are determined by underlying physical noise mechanisms, a detailed and faithful characterization of resource states is re...
Braiding-based quantum control of a Majorana qubit built from quantum dots
P. Boross, Andr'as P'alyi·May 15, 2023
Topology-related ideas might lead to noise-resilient quantum computing. For example, it is expected that the slow spatial exchange (`braiding') of Majorana zero modes in superconductors yields quantum gates that are robust against disorder. Here, we ...
Predictive Models from Quantum Computer Benchmarks
Daniel Hothem, Jordan Hines, Karthik Nataraj +2 more·May 15, 2023
Holistic benchmarks for quantum computers are essential for testing and summarizing the performance of quantum hardware. However, holistic benchmarks-such as algorithmic or randomized benchmarks-typically do not predict a processor's performance on c...
A Full Quantum Generative Adversarial Network Model for High Energy Physics Simulations
F. Rehm, S. Vallecorsa, M. Grossi +2 more·May 12, 2023
The prospect of quantum computing with a potential exponential speed-up compared to classical computing identifies it as a promising method in the search for alternative future High Energy Physics (HEP) simulation approaches. HEP simulations, such as...
A resource-efficient quantum-classical hybrid algorithm for energy gap evaluation
Yongdan Yang, Ying Li, Xiaosi Xu +1 more·May 12, 2023
Estimating the eigenvalue or energy gap of a Hamiltonian H is vital for studying quantum many-body systems. Particularly, many of the problems in quantum chemistry, condensed matter physics, and nuclear physics investigate the energy gap between two ...
Stochastic Approximation of Variational Quantum Imaginary Time Evolution
Julien Gacon, Christa Zoufal, Giuseppe Carleo +1 more·May 11, 2023
The imaginary-time evolution of quantum states is integral to various fields, ranging from natural sciences to classical optimization or machine learning. Since simulating quantum imaginary-time evolution generally requires storing an exponentially l...
Effectiveness of quantum annealing for continuous-variable optimization
S. Arai, Hiroki Oshiyama, H. Nishimori·May 11, 2023
The application of quantum annealing to the optimization of continuous-variable functions is a relatively unexplored area of research. We test the performance of quantum annealing applied to a one-dimensional continuous-variable function with a rugge...
Benchmarking the Variational Quantum Eigensolver using different quantum hardware
Amine Bentellis, Andrea Matic-Flierl, C. Mendl +1 more·May 11, 2023
The Variational Quantum Eigensolver (VQE) is a promising quantum algorithm for applications in chemistry within the Noisy Intermediate-Scale Quantum (NISQ) era. The ability for a quantum computer to simulate electronic structures with high accuracy w...
Fully quantum algorithm for mesoscale fluid simulations with application to partial differential equations
Sriharsha Kocherla, Zhixin Song, F. Chrit +4 more·May 11, 2023
Fluid flow simulations marshal our most powerful computational resources. In many cases, even this is not enough. Quantum computers provide an opportunity to speed up traditional algorithms for flow simulations. We show that lattice-based mesoscale n...
Adaptive variational simulation for open quantum systems
Huo Chen, N. Gomes, Siyuan Niu +1 more·May 11, 2023
Emerging quantum hardware provides new possibilities for quantum simulation. While much of the research has focused on simulating closed quantum systems, the real-world quantum systems are mostly open. Therefore, it is essential to develop quantum al...
Parallelizing Quantum-Classical Workloads: Profiling the Impact of Splitting Techniques
Tuhin Khare, Ritajit Majumdar, Rajiv Sangle +3 more·May 11, 2023
Quantum computers are the next evolution of computing hardware. Quantum devices are being exposed through the same familiar cloud platforms used for classical computers, and enabling seamless execution of hybrid applications that combine quantum and ...