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 certification of state set and unitary channel
Wei Xie·Mar 4, 2021
We study efficient quantum certification algorithms for quantum state set and unitary quantum channel. We present an algorithm that uses $O(\varepsilon^{-4}\ln |\mathcal{P}|)$ copies of an unknown state to distinguish whether the unknown state is con...
Theoretical Realization of a Two Qubit Quantum Controlled-NOT Logic Gate and a Single Qubit Quantum Hadamard Logic Gate in the Anti-Jaynes-Cummings Model
Christopher Mayero, J. Omolo, S. Okeyo·Mar 4, 2021
Quantum gates are fundamental in Quantum computing for their role in manipulating elementary information carriers referred to as quantum bits. In this paper, a theoretical scheme for realizing a quantum Hadamard and a quantum controlled-NOT logic gat...
Quantum dimensionality reduction by linear discriminant analysis
Kai-huan Yu, Song Lin, Gongde Guo·Mar 4, 2021
Dimensionality reduction (DR) of data is a crucial issue for many machine learning tasks, such as pattern recognition and data classification. In this paper, we present a quantum algorithm and a quantum circuit to efficiently perform linear discrimin...
Quantum routing with fast reversals
A. Bapat, Andrew M. Childs, A. Gorshkov +3 more·Mar 4, 2021
We present methods for implementing arbitrary permutations of qubits under interaction constraints. Our protocols make use of previous methods for rapidly reversing the order of qubits along a path. Given nearest-neighbor interactions on a path of le...
Coherent and dissipative dynamics at quantum phase transitions
Davide Rossini, Ettore Vicari·Mar 3, 2021
The many-body physics at quantum phase transitions shows a subtle interplay between quantum and thermal fluctuations, emerging in the low-temperature limit. In this review, we first give a pedagogical introduction to the equilibrium behavior of syste...
Filter Functions for Quantum Processes under Correlated Noise.
Pascal Cerfontaine, Tobias Hangleiter, H. Bluhm·Mar 3, 2021
Many qubit implementations are afflicted by correlated noise not captured by standard theoretical tools that are based on Markov approximations. While independent gate operations are a key concept for quantum computing, it is actually not possible to...
Quantum Metrology for Non-Markovian Processes.
A. Altherr, Yuxiang Yang·Mar 3, 2021
Quantum metrology is a rapidly developing branch of quantum technologies. While various theories have been established on quantum metrology for Markovian processes, i.e., quantum channel estimation, quantum metrology for non-Markovian processes is mu...
Stim: a fast stabilizer circuit simulator
C. Gidney·Mar 3, 2021
This paper presents “Stim", a fast simulator for quantum stabilizer circuits. The paper explains how Stim works and compares it to existing tools. With no foreknowledge, Stim can analyze a distance 100 surface code circuit (20 thousand qubits, 8 mill...
Filter-function formalism and software package to compute quantum processes of gate sequences for classical non-Markovian noise
Tobias Hangleiter, Pascal Cerfontaine, H. Bluhm·Mar 3, 2021
Correlated, non-Markovian noise is present in many solid-state systems employed as hosts for quantum information technologies, significantly complicating the realistic theoretical description of these systems. In this regime, the effects of noise on ...
Implementation of Quantum Machine Learning for Electronic Structure Calculations of Periodic Systems on Quantum Computing Devices
S. Sureshbabu, M. Sajjan, Sangchul Oh +1 more·Mar 2, 2021
Quantum machine learning algorithms, the extensions of machine learning to quantum regimes, are believed to be more powerful as they leverage the power of quantum properties. Quantum machine learning methods have been employed to solve quantum many-b...
Inclusion–exclusion principle for open quantum systems with bosonic bath
Siyao Yang, Zhenning Cai, Jianfeng Lu·Mar 2, 2021
We present two fast algorithms which apply inclusion–exclusion principle to sum over the bosonic diagrams in bare diagrammatic quantum Monte Carlo and inchworm Monte Carlo method, respectively. In the case of inchworm Monte Carlo, the proposed fast a...
Diagrammatic security proof for 8-state encoding
B. Škorić, Zef Wolffs·Mar 2, 2021
Dirac notation is the most common way to describe quantum states and operations on states. It is very convenient and allows for quick visual distinction between vectors, scalars and operators. For quantum processes that involve interactions of multip...
Random access codes via quantum contextual redundancy
G. Gatti, D. Huerga, E. Solano +1 more·Mar 1, 2021
We propose a protocol to encode classical bits in the measurement statistics of many-body Pauli observables, leveraging quantum correlations for a random access code. Measurement contexts built with these observables yield outcomes with intrinsic red...
Quantum Computing Platforms: Assessing the Impact on Quality Attributes and SDLC Activities
B. Sodhi, Ritu Kapur·Mar 1, 2021
Practical quantum computing is rapidly becoming a reality. To harness quantum computers’ real potential in software applications, one needs to have an in-depth understanding of all such characteristics of quantum computing platforms (QCPs), relevant ...
High-performance parallel classical scheme for simulating shallow quantum circuits
Shihao Zhang, Jiacheng Bao, Yifan Sun +3 more·Mar 1, 2021
Recently, constant-depth quantum circuits are proved more powerful than their classical counterparts at solving certain problems, e.g., the two-dimensional (2D) hidden linear function (HLF) problem regarding a symmetric binary matrix. To further inve...
Adiabatic Spectroscopy and a Variational Quantum Adiabatic Algorithm
Benjamin F. Schiffer, Jordi Tura i Brugués, J. Cirac·Mar 1, 2021
Preparing the ground state of a Hamiltonian is a problem of great significance in physics with deep implications in the field of combinatorial optimization. The adiabatic algorithm is known to return the ground state for sufficiently long preparation...
Behavior of Analog Quantum Algorithms.
L. Brady, L. Kocia, P. Bienias +3 more·Mar 1, 2021
Analog quantum algorithms are formulated in terms of Hamiltonians rather than unitary gates and include quantum adiabatic computing, quantum annealing, and the quantum approximate optimization algorithm (QAOA). These algorithms are promising candidat...
Scalable Hamiltonian learning for large-scale out-of-equilibrium quantum dynamics
Agnes Valenti, Guliuxin Jin, J. L'eonard +2 more·Mar 1, 2021
Large-scale quantum devices provide insights beyond the reach of classical simulations. However, for a reliable and verifiable quantum simulation, the building blocks of the quantum device require exquisite benchmarking. This benchmarking of large sc...
A hybrid quantum-classical Hamiltonian learning algorithm
Youle Wang, Guangxi Li, Xin Wang·Mar 1, 2021
This study develops a concrete near-term quantum algorithm for Hamiltonian learning and demonstrates its effectiveness. In particular, we show that learning the spectrum of Hamiltonians during the learning process could produce high-precision estimat...
Quantum-dot-based deterministic photon–emitter interfaces for scalable photonic quantum technology
R. Uppu, L. Midolo, Xiaoyan Zhou +2 more·Mar 1, 2021
The scale-up of quantum hardware is fundamental to realize the full potential of quantum technology. Among a plethora of hardware platforms, photonics stands out: it provides a modular approach where the main challenges lie in the construction of hig...