Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum-Assisted Graph Clustering and Quadratic Unconstrained D-ary Optimisation
Sayantani Pramanik, M. Chandra·Apr 3, 2020
Of late, we are witnessing spectacular developments in Quantum Information Processing with the availability of Noisy Intermediate-Scale Quantum devices of different architectures and various software development kits to work on quantum algorithms. Di...
Single-electron control in a foundry-fabricated two-dimensional qubit array
Fabio Ansaloni, A. Chatterjee, H. Bohuslavskyi +4 more·Apr 2, 2020
Silicon spin qubits have achieved high-fidelity one- and two-qubit gates, above error correction thresholds, promising an industrial route to fault-tolerant quantum computation. A significant next step for the development of scalable multi-qubit proc...
A Heuristic Quantum-Classical Algorithm for Modeling Substitutionally Disordered Binary Crystalline Materials
Tanvi P. Gujarati, Tyler Y Takeshita, A. Hintennach +1 more·Apr 2, 2020
Improving the efficiency and accuracy of energy calculations has been of significant and continued interest in the area of materials informatics, a field that applies machine learning techniques to computational materials data. Here, we present a heu...
Implementation of Geometric Quantum Gates on Microwave‐Driven Semiconductor Charge Qubits
Chengxian Zhang, Tao Chen, Xin Wang +1 more·Apr 1, 2020
A semiconductor‐based charge qubit, confined in double quantum dots, can be a platform to implement quantum computing. However, it suffers severely from charge noises. Here, a theoretical framework to implement universal geometric quantum gates in th...
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Ravi Anand, Arpita Maitra, S. Mukhopadhyay·Apr 1, 2020
For any symmetric key cryptosystem with n-bit secret key, the key can be recovered in O(2n/2)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} ...
Melting of the critical behavior of a Tomonaga-Luttinger liquid under dephasing
Jean-Sébastien Bernier, Ryan Tan, Chu Guo +2 more·Mar 30, 2020
Strongly correlated quantum systems often display universal behavior as, in certain regimes, their properties are found to be independent of the microscopic details of the underlying system. An example of such a situation is the Tomonaga-Luttinger li...
Circuit optimization of Hamiltonian simulation by simultaneous diagonalization of Pauli clusters
E. Berg, K. Temme·Mar 30, 2020
Many applications of practical interest rely on time evolution of Hamiltonians that are given by a sum of Pauli operators. Quantum circuits for exact time evolution of single Pauli operators are well known, and can be extended trivially to sums of co...
End-To-End Quantum Machine Learning Implemented with Controlled Quantum Dynamics
R. Wu, Xi Cao, Pinchen Xie +1 more·Mar 30, 2020
This work presents a hardware-friendly end-to-end quantum machine learning scheme that can be implemented with imperfect near-term intermediate-scale quantum processors. The proposal transforms the machine learning task to the optimization of a quant...
Quantum simulations of a qubit of space
Grzegorz Czelusta, J. Mielczarek·Mar 29, 2020
In loop quantum gravity approach to Planck scale physics, quantum geometry is represented by superposition of the so-called spin network states. In the recent literature, a class of spin networks promising from the perspective of quantum simulations ...
Enabling Pulse-Level Programming, Compilation, and Execution in XACC
Thien Nguyen, A. McCaskey·Mar 26, 2020
Noisy gate-model quantum processing units (QPUs) are currently available from vendors over the cloud, and digital quantum programming approaches exist to run low-depth circuits on physical hardware. These digital representations are ultimately lowere...
Parallel quantum simulation of large systems on small NISQ computers
F. Barratt, J. Dborin, M. Bal +3 more·Mar 26, 2020
Tensor networks permit computational and entanglement resources to be concentrated in interesting regions of Hilbert space. Implemented on NISQ machines they allow simulation of quantum systems that are much larger than the computational machine itse...
Scrambling and decoding the charged quantum information
Junyu Liu·Mar 25, 2020
Some deep conjectures about quantum gravity are closely related to the role of symmetries in the gravitational background, especially for quantum black holes. In this paper, we systematically study the theory of quantum information for a charged, cha...
Simulating finite-time quantum isothermal processes with generic superconducting quantum circuit
Jin-Fu Chen, Ying Li, Hui Dong·Mar 25, 2020
The finite-time isothermal process is fundamental in quantum thermodynamics yet complicated with combination of changing control parameters and the interaction with the thermal bath. Such complexity prevents the direct application of the traditional ...
Continuous quantum error correction for evolution under time-dependent Hamiltonians
J. Atalaya, S. Zhang, M. Niu +4 more·Mar 25, 2020
We develop a protocol for continuous operation of a quantum error correcting code for protection of coherent evolution due to an encoded Hamiltonian against environmental errors, using the three qubit bit flip code and bit flip errors as a canonical ...
Tensor Networks: Phase transition phenomena on hyperbolic and fractal geometries.
J. Genzor, T. Nishino, A. Gendiar·Mar 25, 2020
One of the challenging problems in the condensed matter physics is to understand the quantum many-body systems, especially, their physical mechanisms behind. Since there are only a few complete analytical solutions of these systems, several numerical...
Quantum circuit-like learning: A fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning
Naoko Koide-Majima, Kei Majima·Mar 24, 2020
The application of near-term quantum devices to machine learning (ML) has attracted much attention. In one such attempt, Mitarai et al. (2018) proposed a framework to use a quantum circuit for supervised ML tasks, which is called quantum circuit lear...
Eigen component analysis: A quantum theory incorporated machine learning technique to find linearly maximum separable components
Chen Miao, Shaohua Ma·Mar 23, 2020
For a linear system, the response to a stimulus is often superposed by its responses to other decomposed stimuli. In quantum mechanics, a state is the superposition of multiple eigenstates. Here, by taking advantage of the phase difference, a common ...
Efficiently computing logical noise in quantum error-correcting codes
Stefanie J. Beale, Joel J. Wallman·Mar 23, 2020
Quantum error correction protocols have been developed to offset the high sensitivity to noise inherent in quantum systems. However, much is still unknown about the behaviour of a quantum error-correcting code under general noise, including noisy mea...
Variationally scheduled quantum simulation
S. Matsuura, S. Buck, Valentin Senicourt +1 more·Mar 22, 2020
Eigenstate preparation is ubiquitous in quantum computing, and a standard approach for generating the lowest-energy states of a given system is by employing adiabatic state preparation (ASP). In the present work, we investigate a variational method f...
Koopman–von Neumann approach to quantum simulation of nonlinear classical dynamics
I. Joseph·Mar 22, 2020
Quantum computers can be used to simulate nonlinear non-Hamiltonian classical dynamics on phase space by using the generalized Koopman-von Neumann formulation of classical mechanics. The Koopman-von Neumann formulation implies that the conservation o...