Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Solving quantum statistical mechanics with variational autoregressive networks and quantum circuits
Jin-Guo Liu, Li-xin Mao, Pan Zhang +1 more·Dec 24, 2019
We extend the ability of an unitary quantum circuit by interfacing it with a classical autoregressive neural network. The combined model parametrizes a variational density matrix as a classical mixture of quantum pure states, where the autoregressive...
Evaluation of the spectrum of a quantum system using machine learning based on incomplete information about the wavefunctions
G. Burlak·Dec 24, 2019
We propose an effective approach to rapid estimation of the energy spectrum of quantum systems with the use of machine learning (ML) algorithm. In the ML approach (back propagation), the wavefunction data known from experiments is interpreted as the ...
Framework for simulating gauge theories with dipolar spin systems
Di Luo, Jiayu Shen, Michael Highman +4 more·Dec 24, 2019
Gauge theories appear broadly in physics, ranging from the standard model of particle physics to long-wavelength descriptions of topological systems in condensed matter. However, systems with sign problems are largely inaccessible to classical comput...
Efficient compression of quantum braided circuits
M. Hanks, M. Estarellas, W. Munro +1 more·Dec 24, 2019
Mapping a quantum algorithm to any practical large-scale quantum computer will require a sequence of compilations and optimizations. At the level of fault-tolerant encoding, one likely requirement of this process is the translation into a topological...
Hierarchy of quantum operations in manipulating coherence and entanglement
H. Yamasaki, Madhav Krishnan Vijayan, Min-Hsiu Hsieh·Dec 23, 2019
Quantum resource theory under different classes of quantum operations advances multiperspective understandings of inherent quantum-mechanical properties, such as quantum coherence and quantum entanglement. We establish hierarchies of different operat...
Destructive Error Interference in Product-Formula Lattice Simulation.
Minh C. Tran, Su-Kuan Chu, Yuan Su +2 more·Dec 23, 2019
Quantum computers can efficiently simulate the dynamics of quantum systems. In this Letter, we study the cost of digitally simulating the dynamics of several physically relevant systems using the first-order product-formula algorithm. We show that th...
How to Teach AI to Play Bell Non-Local Games: Reinforcement Learning
Kishor Bharti, T. Haug, V. Vedral +1 more·Dec 23, 2019
Motivated by the recent success of reinforcement learning in games such as Go and Dota2, we formulate Bell non-local games as a reinforcement learning problem. Such a formulation helps us to explore Bell non-locality in a range of scenarios. The meas...
Probabilistic simulation of quantum circuits using a deep-learning architecture
J. Carrasquilla, Di Luo, Felipe Pérez +4 more·Dec 23, 2019
The fundamental question of how to best simulate quantum systems using conventional computational resources lies at the forefront of condensed matter and quantum computation. It impacts both our understanding of quantum materials and our ability to e...
Soluble limit and criticality of fermions in Z2 gauge theories
E. König, P. Coleman, A. Tsvelik·Dec 23, 2019
Quantum information theory and strongly correlated electron systems share a common theme of macroscopic quantum entanglement. In both topological error correction codes and theories of quantum materials (spin liquid, heavy fermion and high-$T_c$ syst...
Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design
Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang +1 more·Dec 23, 2019
We introduce Yao, an extensible, efficient open-source framework for quantum algorithm design. Yao features generic and differentiable programming of quantum circuits. It achieves state-of-the-art performance in simulating small to intermediate-sized...
Quantum Secure Probably-Approximately-Correct Learning
Wooyeong Song, Youngrong Lim, Hyukjoon Kwon +5 more·Dec 23, 2019
Studies addressing the question "Can a learner complete the learning securely?" have recently been spurred from the standpoints of fundamental theory and potential applications. In the relevant context of this question, we present a classical-quantum...
Applying the Quantum Approximate Optimization Algorithm to the Tail-Assignment Problem
Pontus Vikstål, Mattias Grönkvist, Marika Svensson +3 more·Dec 22, 2019
Airlines today are faced with a number of large scale scheduling problems. One such problem is the tail assignment problem, which is the task of assigning individual aircraft to a given set of flights, minimizing the overall cost. Each aircraft is id...
Quantum approximate optimization of the exact-cover problem on a superconducting quantum processor
A. Bengtsson, Pontus Vikstaal, C. Warren +12 more·Dec 22, 2019
Present-day, noisy, small or intermediate-scale quantum processors---although far from fault-tolerant---support the execution of heuristic quantum algorithms, which might enable a quantum advantage, for example, when applied to combinatorial optimiza...
Automated discovery of logical gates for quantum error correction
Hongxiang Chen, M. Vasmer, N. P. Breuckmann +1 more·Dec 20, 2019
Quantum error correcting codes protect quantum computation from errors caused by decoherence and other noise. Here we study the problem of designing logical operations for quantum error correcting codes. We present an automated procedure that generat...
Parity Detection of Propagating Microwave Fields
Jean-Claude Besse, S. Gasparinetti, M. Collodo +5 more·Dec 20, 2019
The parity of the number of elementary excitations present in a quantum system provides important insights into its physical properties. Parity measurements are used, for example, to tomographically reconstruct quantum states or to determine if a dec...
Decoding Quantum Error Correction Codes With Local Variation
M. Hanks, W. Munro, K. Nemoto·Dec 20, 2019
In this article, we investigate the role of local information in the decoding of the repetition and surface error correction codes for the protection of quantum states. Our key result is an improvement in resource efficiency when local information is...
Quantum Fourier Transform in Oscillating Modes
Qiming Chen, F. Deppe, R. Wu +9 more·Dec 20, 2019
Quantum Fourier transform (QFT) is a key ingredient of many quantum algorithms. In typical applications such as phase estimation, a considerable number of ancilla qubits and gates are used to form a Hilbert space large enough for high-precision resul...
Bayesian machine learning for Boltzmann machine in quantum-enhanced feature spaces
Yusen Wu, Chao-Hua Yu, S. Qin +2 more·Dec 20, 2019
Bayesian learning is ubiquitous for implementing classification and regression tasks, however, it is accompanied by computationally intractable limitations when the feature spaces become extremely large. Aiming to solve this problem, we develop a qua...
Isoclinic subspaces and quantum error correction
D. Kribs, David Mammarella, Rajesh Pereira·Dec 20, 2019
We exhibit equivalent conditions for subspaces of an inner product space to be isoclinic, including a characterization based on the classical notion of canonical angles. We identify a connection with quantum error correction, showing that every quant...
Repeated quantum error detection in a surface code
C. K. Andersen, A. Remm, S. Lazăr +6 more·Dec 19, 2019
The realization of quantum error correction is an essential ingredient for reaching the full potential of fault-tolerant universal quantum computation. Using a range of different schemes, logical qubits that are resistant to errors can be redundantly...