Papers
Live trends in quantum computing research, updated daily from arXiv.
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15,361 papers in 12 months (-8% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Improving Convergence for Quantum Variational Classifiers using Weight Re-Mapping
Michael Kölle, Alessandro Giovagnoli, Jonas Stein +3 more·Dec 22, 2022
In recent years, quantum machine learning has seen a substantial increase in the use of variational quantum circuits (VQCs). VQCs are inspired by artificial neural networks, which achieve extraordinary performance in a wide range of AI tasks as massi...
Quantum computing on magnetic racetracks with flying domain wall qubits
J. Zou, S. Bosco, B. Pal +3 more·Dec 22, 2022
Domain walls (DWs) on magnetic racetracks are at the core of the field of spintronics, providing a basic element for classical information processing. Here, we show that mobile DWs also provide a blueprint for large-scale quantum computers. Remarkabl...
Dual-rail encoding with superconducting cavities
James D. Teoh, P. Winkel, H. K. Babla +15 more·Dec 22, 2022
Significance Here, we propose an architecture for quantum computing that applies the dual-rail encoding from quantum optics to a superconducting quantum circuit platform. In doing so, we not only benefit from the error detection properties of this en...
An unsupervised deep learning algorithm for single-site reconstruction in quantum gas microscopes
Alexander Impertro, Julian F. Wienand, Sophie Häfele +6 more·Dec 22, 2022
In quantum gas microscopy experiments, reconstructing the site-resolved lattice occupation with high fidelity is essential for the accurate extraction of physical observables. For short interatomic separations and limited signal-to-noise ratio, this ...
Graphix: optimizing and simulating measurement-based quantum computation on local-Clifford decorated graph
S. Sunami, Masato Fukushima·Dec 22, 2022
We introduce an open-source software library Graphix , which optimizes and simu-lates measurement-based quantum computation (MBQC). By combining the measurement calculus with an efficient graph state simulator, Graphix allows the classical preprocessin...
An introduction to variational quantum algorithms for combinatorial optimization problems
Camille Grange, M. Poss, E. Bourreau·Dec 22, 2022
Noisy intermediate-scale quantum computers (NISQ computers) are now readily available, motivating many researchers to experiment with Variational Quantum Algorithms (VQAs). Among them, the Quantum Approximate Optimization Algorithm (QAOA) is one of t...
High-performance repetition cat code using fast noisy operations
François-Marie Le Régent, Camille Berdou, Z. Leghtas +2 more·Dec 22, 2022
Bosonic cat qubits stabilized by two-photon driven dissipation benefit from exponential suppression of bit-flip errors and an extensive set of gates preserving this protection. These properties make them promising building blocks of a hardware-effici...
Sub-Mbps key-rate continuous-variable quantum key distribution with local local oscillator over 100-km fiber.
Yaodi Pi, Heng Wang, Ya Pan +6 more·Dec 22, 2022
We experimentally demonstrated a sub-Mbps key rate Gaussian-modulated coherent-state (GMCS) continuous-variable quantum key distribution (CV-QKD) over a 100-km transmission distance. To efficiently control the excess noise, the quantum signal and the...
Shallow quantum circuits for deeper problems
Adri'an P'erez-Salinas, Radoica Dravski'c, Jordi Tura i Brugués +1 more·Dec 22, 2022
State-of-the-art quantum computers can only reliably execute circuits with limited qubit numbers and computational depth. This severely reduces the scope of algorithms that can be run. While numerous techniques have been invented to exploit few-qubit...
Efficient high-fidelity flying qubit shaping
B. Tissot, G. Burkard·Dec 21, 2022
Matter qubit to traveling photonic qubit conversion is the cornerstone of numerous quantum technologies such as distributed quantum computing, as well as several quantum internet and networking protocols. We formulate a theory for stimulated Raman em...
Robust Quantum Arithmetic Operations with Intermediate Qutrits in the NISQ-era
A. Saha, A. Chattopadhyay, Amlan Chakrabarti·Dec 21, 2022
Numerous scientific developments in this NISQ-era (Noisy Intermediate Scale Quantum) have raised the importance for quantum algorithms relative to their conventional counterparts due to its asymptotic advantage. For resource estimates in several quan...
NP-hard but no longer hard to solve? Using quantum computing to tackle optimization problems
R. Au-Yeung, N. Chancellor, Pascal Halffmann·Dec 21, 2022
In the last decade, public and industrial research funding has moved quantum computing from the early promises of Shor’s algorithm through experiments to the era of noisy intermediate scale quantum devices (NISQ) for solving real-world problems. It i...
An efficient quantum algorithm for simulating polynomial differential equations
Amit Surana, Abeynaya Gnanasekaran, T. Sahai·Dec 21, 2022
We present an efficient quantum algorithm to simulate nonlinear differential equations with polynomial vector fields of arbitrary degree on quantum platforms. Models of physical systems that are governed by ordinary differential equations (ODEs) or p...
Recommending Solution Paths for Solving Optimization Problems with Quantum Computing
Benedikt Poggel, Nils Quetschlich, Lukas Burgholzer +2 more·Dec 21, 2022
Solving real-world optimization problems with quantum computing requires choosing between a large number of options concerning formulation, encoding, algorithm and hardware. Finding good solution paths is challenging for end users and researchers ali...
Toward Exploring Phase Diagrams of Gauge Theories on Quantum Computers with Thermal Pure Quantum States
Z. Davoudi, N. Mueller, Connor Powers·Dec 21, 2022
Aiming at evading the notorious sign problem in classical Monte-Carlo approaches to lattice quantum chromodynamics, we present an approach for quantum computing finite-temperature lattice gauge theories at non-zero density. Based on the thermal pure-...
Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement Learning
Zhikang Wang·Dec 21, 2022
With advances in digital technology in recent years, parallel computation utilizing GPUs has achieved remarkable efficiency, which has made it possible to use large-scale machine learning algorithms with large datasets, and deep learning, which is ma...
Biased Gottesman-Kitaev-Preskill repetition code
Matthew P. Stafford, N. Menicucci·Dec 21, 2022
Continuous-variable quantum computing architectures based upon the Gottesmann-Kitaev-Preskill (GKP) encoding have emerged as a promising candidate because one can achieve fault-tolerance with a probabilistic supply of GKP states and Gaussian operatio...
Synergetic quantum error mitigation by randomized compiling and zero-noise extrapolation for the variational quantum eigensolver
Tomochika Kurita, Hammam Qassim, M. Ishii +3 more·Dec 21, 2022
We propose a quantum error mitigation strategy for the variational quantum eigensolver (VQE) algorithm. We find, via numerical simulation, that very small amounts of coherent noise in VQE can cause substantially large errors that are difficult to sup...
Self-Consistent Field Approach for the Variational Quantum Eigensolver: Orbital Optimization Goes Adaptive.
Aaron Fitzpatrick, Anton Nykänen, N. Talarico +4 more·Dec 21, 2022
We present a self-consistent field (SCF) approach within the adaptive derivative-assembled problem-tailored ansatz variational quantum eigensolver (ADAPT-VQE) framework for efficient quantum simulations of chemical systems on near-term quantum comput...
A quantum algorithm for counting zero-crossings
Alokita Shukla·Dec 21, 2022
We present a zero-crossings counting problem that is a generalization of the Bernstein-Vazirani problem. The goal of this problem is to count the number of zero-crossings (or sign changes) in a special type of sequence S, whose definition depends upo...