Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Simulating quantum materials with digital quantum computers
Lindsay Bassman Oftelie, M. Urbánek, Mekena Metcalf +3 more·Jan 21, 2021
Quantum materials exhibit a wide array of exotic phenomena and practically useful properties. A better understanding of these materials can provide deeper insights into fundamental physics in the quantum realm as well as advance information processin...
Sparse Reconstruction for Radar Imaging Based on Quantum Algorithms
Xiao-wen Liu, Chen Dong, Ying Luo +3 more·Jan 21, 2021
The sparse-driven radar imaging can obtain high-resolution images about a target scene with the down-sampled data. However, the huge computational complexity of the classical sparse recovery method for the particular situation seriously affects the p...
Composable Programming of Hybrid Workflows for Quantum Simulation
Thien Nguyen, Lindsay Bassman, Dmitry I. Lyakh +6 more·Jan 20, 2021
We present a composable design scheme for the development of hybrid quantum/classical algorithms and workflows for applications of quantum simulation. Our object-oriented approach is based on constructing an expressive set of common data structures a...
Integrated multiplexed microwave readout of silicon quantum dots in a cryogenic CMOS chip
A. Ruffino, Tsung-Yeh Yang, J. Michniewicz +3 more·Jan 20, 2021
Solid-state quantum computers require classical electronics to control and readout individual qubits and to enable fast classical data processing [1-3]. Integrating both subsystems at deep cryogenic temperatures [4], where solid-state quantum process...
A NEAT quantum error decoder
Hugo Th'eveniaut, Evert van Nieuwenburg·Jan 20, 2021
We investigate the use of the evolutionary NEAT algorithm for the optimization of a policy network that performs quantum error decoding on the toric code, with bitflip and depolarizing noise, one qubit at a time. We find that these NEAT-optimized ne...
Enhancing Generative Models via Quantum Correlations
Xun Gao, E. Anschuetz, Sheng-Tao Wang +2 more·Jan 20, 2021
Generative modeling using samples drawn from the probability distribution constitutes a powerful approach for unsupervised machine learning. Quantum mechanical systems can produce probability distributions that exhibit quantum correlations which are ...
Noisy intermediate scale quantum simulation of time dependent Hamiltonians
J. Lau, Kishor Bharti, T. Haug +1 more·Jan 19, 2021
Quantum computers are expected to help us to achieve accurate simulation of the dynamics of many-body quantum systems. However, the limitations of current NISQ devices prevents us from realising this goal today. Recently an algorithm for performing q...
Experimental realization of nonadiabatic holonomic single‐qubit quantum gates with two dark paths in a trapped ion
Ming-Zhong Ai, Sai Li, Ran He +5 more·Jan 19, 2021
For circuit-based quantum computation, experimental implementation of a universal set of quantum logic gates with high-fidelity and strong robustness is essential and central. Quantum gates induced by geometric phases, which depend only on global pro...
Randomizing multi-product formulas for Hamiltonian simulation
Paul K. Faehrmann, M. Steudtner, R. Kueng +2 more·Jan 19, 2021
Quantum simulation, the simulation of quantum processes on quantum computers, suggests a path forward for the efficient simulation of problems in condensed-matter physics, quantum chemistry, and materials science. While the majority of quantum simula...
Deterministic photonic quantum computation in a synthetic time dimension
Ben Bartlett, A. Dutt, S. Fan·Jan 19, 2021
Photonics offers unique advantages as a substrate for quantum information processing, but im-poses fundamental scalability challenges. Nondeterministic schemes impose massive resource overheads, while deterministic schemes require prohibitively many i...
Hilbert-Schmidt Separability Probabilities from Bures Ensembles and vice versa: Applications to Quantum Steering Ellipsoids and Monotone Metrics
P. Slater·Jan 19, 2021
We reexamine a recent analysis in which, using the volume of the associated quantum steering ellipsoid (QES) as a measure, we sought to estimate the probability that a two-qubit state is separable. In the estimation process, we, in effect, sought to ...
Quantum Permutation Synchronization
Tolga Birdal, Vladislav Golyanik, C. Theobalt +1 more·Jan 19, 2021
We present QuantumSync, the first quantum algorithm for solving a synchronization problem in the context of computer vision. In particular, we focus on permutation synchronization which involves solving a non-convex optimization problem in discrete v...
Efficient, stabilized two-qubit gates on a trapped-ion quantum computer
R. Blümel, Nikodem Grzesiak, N. Nguyen +5 more·Jan 19, 2021
In order to scale up quantum processors and achieve a quantum advantage, it is crucial to economize on the power requirement of two-qubit gates, make them robust to drift in experimental parameters, and shorten the gate times. Applicable to all quant...
Tunable Coupling Architecture for Fixed-Frequency Transmon Superconducting Qubits.
J. Stehlík, D. M. Zajac, D. Underwood +9 more·Jan 19, 2021
Implementation of high-fidelity 2-qubit operations is a key ingredient for scalable quantum error correction. In superconducting qubit architectures, tunable buses have been explored as a means to higher-fidelity gates. However, these buses introduce...
Solving Quadratic Unconstrained Binary Optimization with divide-and-conquer and quantum algorithms
G. Guerreschi·Jan 19, 2021
Quadratic Unconstrained Binary Optimization (QUBO) is a broad class of optimization problems with many practical applications. To solve its hard instances in an exact way, known classical algorithms require exponential time and several approximate me...
Scalable Neural Decoder for Topological Surface Codes.
Kai Meinerz, Chae-Yeun Park, S. Trebst·Jan 18, 2021
With the advent of noisy intermediate-scale quantum (NISQ) devices, practical quantum computing has seemingly come into reach. However, to go beyond proof-of-principle calculations, the current processing architectures will need to scale up to larger...
Training Variational Quantum Algorithms Is NP-Hard.
Lennart Bittel, M. Kliesch·Jan 18, 2021
Variational quantum algorithms are proposed to solve relevant computational problems on near term quantum devices. Popular versions are variational quantum eigensolvers and quantum approximate optimization algorithms that solve ground state problems ...
Simulating Energy Transfer in Molecular Systems with Digital Quantum Computers.
Chee-Kong Lee, Jonathan Wei Zhong Lau, Liang Shi +1 more·Jan 18, 2021
Quantum computers have the potential to simulate chemical systems beyond the capability of classical computers. Recent developments in hybrid quantum-classical approaches enable the determinations of the ground or low energy states of molecular syste...
Coherent manipulation of an Andreev spin qubit
M. Hays, V. Fatemi, D. Bouman +9 more·Jan 17, 2021
Superconducting spin qubit To date, the most promising solid-state approaches for developing quantum information-processing systems have been based on the circulating supercurrents of superconducting circuits and manipulating the spin properties of e...
On Linear Codes With One-Dimensional Euclidean Hull and Their Applications to EAQECCs
Lin Sok·Jan 16, 2021
The Euclidean hull of a linear code <inline-formula> <tex-math notation="LaTeX">$C$ </tex-math></inline-formula> is the intersection of <inline-formula> <tex-math notation="LaTeX">$C$ </tex-math></inline-formula> with its Euclidean dual <inline-formu...