Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Optimization of Quantum Read-Only Memory Circuits
Koustubh Phalak, M. Alam, Abdullah Ash-Saki +2 more·Apr 6, 2022
Quantum computing is a rapidly expanding field with applications ranging from optimization all the way to complex machine learning tasks. Quantum memories, while lacking in practical quantum computers, have the potential to bring quantum advantage. I...
Quantum Approximate Counting for Markov Chains and Application to Collision Counting
Franccois Le Gall, Iu-Iong Ng·Apr 6, 2022
In this paper we show how to generalize the quantum approximate counting technique developed by Brassard, H{\o}yer and Tapp [ICALP 1998] to a more general setting: estimating the number of marked states of a Markov chain (a Markov chain can be seen a...
Accelerated Quantum Adiabatic Transfer in Superconducting Qubits
Wen Zheng, Jianwen Xu, Zhimin Wang +4 more·Apr 6, 2022
Quantum adiabatic transfer is widely used in quantum computation and quantum simulation. However, the transfer speed is limited by the quantum adiabatic approximation condition, which hinders its application in quantum systems with a short decoherenc...
Post-Quantum Cryptography Algorithms Standardization and Performance Analysis
Manish Kumar·Apr 6, 2022
Quantum computer is no longer a hypothetical idea. It is the worlds most important technology and there is a race among countries to get supremacy in quantum technology. Its the technology that will reduce the computing time from years to hours or ev...
Effective qubit dephasing induced by spectator-qubit relaxation
P. Jurcevic, L. Govia·Apr 6, 2022
In many leading architectures for quantum computing, it remains to be understood if we can equate single-qubit coherence times measured in isolation, to that of coherence times measured in multi-qubit devices. On a multi-qubit superconducting circuit...
Approximate quantum gates compilation for superconducting transmon qubits with self-navigation algorithm
Runhong He, Feng-Hua Ren, Yang-Yang Xie +2 more·Apr 6, 2022
Precise and fast qubit control is crucial when compiling quantum gates for successful implementation of quantum algorithms. However, the presence of environmental noise and the nonzero bandwidth of control pulses pose challenges for the effective con...
Adiabatic quantum algorithm for artificial graphene
A. P'erez-Obiol, Adri'an P'erez-Salinas, Sergio S'anchez-Ram'irez +2 more·Apr 6, 2022
We devise a quantum-circuit algorithm to solve the ground state and ground energy of artificial graphene. The algorithm implements a Trotterized adiabatic evolution from a purely tight-binding Hamiltonian to one including kinetic, spin-orbit and Coul...
Variational quantum evolution equation solver
F. Y. Leong, W. Ewe, Dax Enshan Koh·Apr 6, 2022
Variational quantum algorithms offer a promising new paradigm for solving partial differential equations on near-term quantum computers. Here, we propose a variational quantum algorithm for solving a general evolution equation through implicit time-s...
Robust multipartite entanglement in dirty topological wires
Luca Pezzè, Luca Lepori·Apr 5, 2022
Identifying and characterizing quantum phases of matter in the presence of long range correlations and/or spatial disorder is, generally, a challenging and relevant task. Here, we study a generalization of the Kiteav chain with variable-range pairing...
Quantum-noise-limited microwave amplification using a graphene Josephson junction
Joydip Sarkar, K. Salunkhe, S. Mandal +7 more·Apr 5, 2022
Josephson junctions (JJs) and their tunable properties, including their nonlinearities, play an important role in superconducting qubits and amplifiers. JJs together with the circuit quantum electrodynamics architecture form many key components of qu...
A Stabilizer Framework for the Contextual Subspace Variational Quantum Eigensolver and the Noncontextual Projection Ansatz
Tim Weaving, Alexis Ralli, William M. Kirby +3 more·Apr 5, 2022
Quantum chemistry is a promising application for noisy intermediate-scale quantum (NISQ) devices. However, quantum computers have thus far not succeeded in providing solutions to problems of real scientific significance, with algorithmic advances bei...
Quantum Version of the k‐NN Classifier Based on a Quantum Sorting Algorithm
L. F. Quezada, Guo-Hua Sun, S. Dong·Apr 5, 2022
In this work a quantum sorting algorithm with adaptable requirements of memory and circuit depth is introduced, and is used to develop a new quantum version of the classical machine learning algorithm known as k‐nearest neighbors (k‐NN). Both the eff...
How much classical information is carried by a quantum state? An approach inspired by Kolmogorov complexity
D. Brogioli·Apr 5, 2022
In quantum mechanics, a state is an element of a Hilbert space whose dimension exponentially grows with the increase of the number of par-ticles (or qubits, in quantum computing). The vague question “is this huge Hilbert space really there?” has been...
Superconducting Nanowire Single-Photon Detectors and effect of accumulation and unsteady releases of excess energy in materials
S. Pereverzev, G. Carosi, Viacheslav Li·Apr 5, 2022
Universal fault-tolerant quantum computers, which promise to revolutionize computing, are currently limited by excessive noise in their constituent superconducting qubits. Determining the dominant sources of this excess noise will lead to a clearer u...
High-Fidelity Quantum Control by Polychromatic Pulse Trains.
S. Ivanov, B. Torosov, N. Vitanov·Apr 5, 2022
We introduce a quantum control technique using polychromatic pulse trains, consisting of pulses with different carrier frequencies, i.e., different detunings with respect to the qubit transition frequency. We derive numerous polychromatic pulse train...
Experimental quantum adversarial learning with programmable superconducting qubits
W. Ren, Weikang Li, Shibo Xu +21 more·Apr 4, 2022
Quantum computing promises to enhance machine learning and artificial intelligence. However, recent theoretical works show that, similar to traditional classifiers based on deep classical neural networks, quantum classifiers would suffer from adversa...
Peptide conformational sampling using the Quantum Approximate Optimization Algorithm
Sami Boulebnane, X. Lucas, Agnes Meyder +2 more·Apr 4, 2022
Protein folding has attracted considerable research effort in biochemistry in recent decades. In this work, we explore the potential of quantum computing to solve a simplified version of protein folding. More precisely, we numerically investigate the...
Diagrammatic Analysis for Parameterized Quantum Circuits
T. Stollenwerk, Stuart Hadfield·Apr 4, 2022
Diagrammatic representations of quantum algorithms and circuits offer novel approaches to their design and analysis. In this work, we describe extensions of the ZX-calculus especially suitable for parameterized quantum circuits, in particular for com...
Toward density functional theory on quantum computers?
Bruno Senjean, Saad Yalouz, M. Saubanère·Apr 4, 2022
Quantum Chemistry and Physics have been pinpointed as killer applications for quantum computers, and quantum algorithms have been designed to solve the Schrödinger equation with the wavefunction formalism. It is yet limited to small systems, as their...
Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go?
Mohammad Masum, Mohammad Nazim, Md Jobair Hossain Faruk +8 more·Apr 4, 2022
Quantum Computing (QC) has gained immense popularity as a potential solution to deal with the ever-increasing size of data and associated challenges leveraging the concept of quantum random access memory (QRAM). QC promises-quadratic or exponential i...