Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Non-Markovianity-based ultrasensitive parameter estimation
Olli Siltanen·Nov 9, 2022
Accurate parameter estimation is a central task in quantum metrology and sensing, where quantum resources can provide precision beyond classical limits. In realistic settings, however, system-environment interactions lead to decoherence, reducing the...
Overcoming leakage in quantum error correction
K. Miao, M. McEwen, J. Atalaya +114 more·Nov 9, 2022
The leakage of quantum information out of the two computational states of a qubit into other energy states represents a major challenge for quantum error correction. During the operation of an error-corrected algorithm, leakage builds over time and s...
Quantum search algorithm for binary constant weight codes
Kein Yukiyoshi, Naoki Ishikawa·Nov 9, 2022
A binary constant weight code is a type of error-correcting code with a wide range of applications. The problem of finding a binary constant weight code has long been studied as a combinatorial optimization problem in coding theory. In this paper, we...
Resource frugal optimizer for quantum machine learning
Charles Moussa, Max Hunter Gordon, Michał Bączyk +3 more·Nov 9, 2022
Quantum-enhanced data science, also known as quantum machine learning (QML), is of growing interest as an application of near-term quantum computers. Variational QML algorithms have the potential to solve practical problems on real hardware, particul...
Entanglement steering in adaptive circuits with feedback
V. Ravindranath, Yi-Fan Han, Zhi-Cheng Yang +1 more·Nov 9, 2022
The intensely studied measurement-induced entanglement phase transition has become a hallmark of non-unitary quantum many-body dynamics. Usually, such a transition only shows up at the level of each individual quantum trajectory, and is absent for th...
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks
Kaixiong Zhou, Zhenyu (Allen) Zhang, Sheng-Wei Chen +4 more·Nov 9, 2022
Quantum neural networks (QNNs), an interdisciplinary field of quantum computing and machine learning, have attracted tremendous research interests due to the specific quantum advantages. Despite lots of efforts developed in computer vision domain, on...
Quantum Differential Equation Solvers: Limitations and Fast-Forwarding
Dong An, Jin-Peng Liu, Daochen Wang +1 more·Nov 9, 2022
We study the limitations and fast-forwarding of quantum algorithms for linear ordinary differential equation (ODE) systems with a particular focus on non-quantum dynamics, where the coefficient matrix in the ODE is not anti-Hermitian or the ODE is in...
Learning Quantum Processes Without Input Control
Marco Fanizza, Yihui Quek, M. Rosati·Nov 9, 2022
We introduce a general statistical learning theory for processes that take as input a classical random variable and output a quantum state. Our setting is motivated by the practical situation in which one desires to learn a quantum process governed b...
Spin-squeezed Gottesman-Kitaev-Preskill codes for quantum error correction in atomic ensembles
Sivaprasad Omanakuttan, T. J. Volkoff·Nov 9, 2022
GKP codes encode a qubit in displaced phase space combs of a continuous-variable (CV) quantum system and are useful for correcting a variety of high-weight photonic errors. Here we propose atomic ensemble analogues of the single-mode CV GKP code by u...
Ising formulation of integer optimization problems for utilizing quantum annealing in iterative improvement strategy
Shuntaro Okada, Masayuki Ohzeki·Nov 8, 2022
Quantum annealing is a heuristic algorithm for searching the ground state of an Ising model. Heuristic algorithms aim to obtain near-optimal solutions with a reasonable computation time. Accordingly, many algorithms have so far been proposed. In gene...
T-depth-optimized quantum search with quantum data-access machine
Jung Jun Park, Kyunghyun Baek, Myungshik Kim +3 more·Nov 8, 2022
Quantum search algorithms offer a remarkable advantage of quadratic reduction in query complexity using quantum superposition principle. However, how an actual architecture may access and handle the database in a quantum superposed state has been lar...
Optimized architectures for universal quantum state transformations using photonic path and polarization
Dongxu Chen, L. Jia, Pei Zhang +1 more·Nov 8, 2022
An arbitrary lossless transformation in high-dimensional (HD) quantum space can be decomposed into elementary operations which are easy to implement, and an effective decomposition algorithm is important for constructing HD systems. Here, we present ...
Quantum Persistent Homology for Time Series
Bernardo Ameneyro, G. Siopsis, V. Maroulas·Nov 8, 2022
Persistent homology, a powerful mathematical tool for data analysis, summarizes the shape of data through tracking topological features across changes in different scales. Classical algorithms for persistent homol-ogy are often constrained by running...
Better-than-classical Grover search via quantum error detection and suppression
Bibek Pokharel, Daniel A. Lidar·Nov 8, 2022
We report better-than-classical success probabilities for a complete Grover quantum search algorithm on the largest scale demonstrated to date, of up to five qubits, using two different IBM platforms. This is enabled by error suppression via robust d...
All-rf-based coarse-tuning algorithm for quantum devices using machine learning
Barnaby van Straaten, F. Fedele, F. Vigneau +7 more·Nov 8, 2022
Radio-frequency measurements could satisfy DiVincenzo’s readout criterion in future large-scale solid-state quantum processors, as they allow for high bandwidths and frequency multiplexing. However, the scalability potential of this readout technique...
A Polynomial-Time Classical Algorithm for Noisy Random Circuit Sampling
D. Aharonov, Xun Gao, Zeph Landau +2 more·Nov 8, 2022
We give a polynomial time classical algorithm for sampling from the output distribution of a noisy random quantum circuit in the regime of anti-concentration to within inverse polynomial total variation distance. The algorithm is based on a quantum a...
Quantum algorithm for querying causality of multiloop scattering amplitudes
S. Ram'irez-Uribe·Nov 7, 2022
The first application of a quantum algorithm to Feynman loop integrals is reviewed. The connection between quantum computing and perturbative quantum field theory is feasible due to fact that the two on-shell states of a Feynman propagator are natura...
Analytical Formulation of the Second-Order Derivative of Energy for the Orbital-Optimized Variational Quantum Eigensolver: Application to Polarizability.
Yuya O. Nakagawa, Jiabao Chen, Shotaro Sudo +2 more·Nov 7, 2022
We develop a quantum-classical hybrid algorithm to calculate the analytical second-order derivative of the energy for the orbital-optimized variational quantum eigensolver (OO-VQE), which is a method to calculate eigenenergies of a given molecular Ha...
A Quantum-Powered Photorealistic Rendering
Yuanfu Yang, Min Sun·Nov 7, 2022
Achieving photorealistic rendering of real-world scenes poses a significant challenge with diverse applications, including mixed reality and virtual reality. Neural networks, extensively explored in solving differential equations, have previously bee...
A Survey on Quantum Reinforcement Learning
Nico Meyer, Christian Ufrecht, Maniraman Periyasamy +3 more·Nov 7, 2022
Quantum reinforcement learning is an emerging field at the intersection of quantum computing and machine learning. While we intend to provide a broad overview of the literature on quantum reinforcement learning - our interpretation of this term will ...