Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Quantum-enhanced selection operators for evolutionary algorithms
David Von Dollen, S. Yarkoni, Daniel Weimer +2 more·Jun 21, 2022
Genetic algorithms have unique properties which are useful when applied to black box optimization. Using selection, crossover, and mutation operators, candidate solutions may be obtained without the need to calculate a gradient. In this work, we stud...
Cooperative quantum information erasure
L. Buffoni, M. Campisi·Jun 21, 2022
We demonstrate an information erasure protocol that resets N qubits at once. The method displays exceptional performances in terms of energy cost (it operates nearly at Landauer energy cost kTln2), time duration (∼μs) and erasure success rate (∼99,9...
Quantum self-consistent equation-of-motion method for computing molecular excitation energies, ionization potentials, and electron affinities on a quantum computer
Ayush Asthana, Ashutosh Kumar, Vibin Abraham +8 more·Jun 21, 2022
Near-term quantum computers are expected to facilitate material and chemical research through accurate molecular simulations. Several developments have already shown that accurate ground-state energies for small molecules can be evaluated on present-...
Single-step implementation of a hybrid controlled-not gate with one superconducting qubit simultaneously controlling multiple target cat-state qubits
Qi-Ping Su, Yu Zhang, Chuiping Yang·Jun 21, 2022
Hybrid quantum gates have recently drawn considerable attention. They play significant roles in connecting quantum information processors with qubits of different encoding and have important applications in the transmission of quantum states between ...
Inference-Based Quantum Sensing
C. H. Alderete, Max Hunter Gordon, F. Sauvage +4 more·Jun 20, 2022
In a standard quantum sensing (QS) task one aims at estimating an unknown parameter θ, encoded into an n-qubit probe state, via measurements of the system. The success of this task hinges on the ability to correlate changes in the parameter to change...
Quantum circuit optimization for multiple QPUs using local structure
Edwin Tham, Ilia Khait, Aharon Brodutch·Jun 20, 2022
Interconnecting clusters of qubits will be an essential element of scaling up future quantum computers. Operations between quantum processing units (QPUs) are usually significantly slower and costlier than those within a single QPU, so usage of the i...
Quantum machine learning channel discrimination
A. Kardashin, A. Vlasova, A. Pervishko +2 more·Jun 20, 2022
In the problem of quantum channel discrimination, one distinguishes between a given number of quantum channels, which is done by sending an input state through a channel and measuring the output state. This work studies applications of variational qu...
Penalty Weights in QUBO Formulations: Permutation Problems
M. Ayodele·Jun 20, 2022
Optimisation algorithms designed to work on quantum computers or other specialised hardware have been of research interest in recent years. Commercial solvers that use quantum or quantum-inspired methods, such as Fujitsu’s Digital Annealer (DA) and D...
Single-qubit reaped quantum state tomography
Mahn‐Soo Choi·Jun 20, 2022
Quantum state tomography is the experimental procedure of determining an unknown state. It is not only essential for the verification of resources and processors of quantum information but is also important in its own right with regard to the foundat...
Variational quantum and quantum-inspired clustering
Pablo Bermejo, R. Orús·Jun 20, 2022
Here we present a quantum algorithm for clustering data based on a variational quantum circuit. The algorithm allows to classify data into many clusters, and can easily be implemented in few-qubit Noisy Intermediate-Scale Quantum devices. The idea of...
Capabilities and limits of the unitary coupled-cluster approach with generalized two-body cluster operators.
Andreas Köhn, J. Olsen·Jun 20, 2022
Unitary cluster expansions of the electronic wavefunction have recently gained much interest because of their use in conjunction with quantum algorithms. In this contribution, we investigate some aspects of an ansatz, using generalized two-body excit...
Classical splitting of parametrized quantum circuits
Cenk Tüysüz, Giuseppe Clemente, Arianna Crippa +3 more·Jun 20, 2022
Barren plateaus appear to be a major obstacle for using variational quantum algorithms to simulate large-scale quantum systems or to replace traditional machine learning algorithms. They can be caused by multiple factors such as the expressivity of t...
Near-term quantum algorithm for computing molecular and materials properties based on recursive variational series methods
Phillip W K Jensen, Peter D. Johnson, Alexander A. Kunitsa·Jun 20, 2022
Determining the properties of molecules and materials is one of the premier applications of quantum computing. A major question in the field is: how might we use imperfect near-term quantum computers to solve problems of practical value? We propose a...
Quantum AI simulator using a hybrid CPU–FPGA approach
Teppei Suzuki, Tsubasa Miyazaki, Toshiki Inaritai +1 more·Jun 20, 2022
The quantum kernel method has attracted considerable attention in the field of quantum machine learning. However, exploring the applicability of quantum kernels in more realistic settings has been hindered by the number of physical qubits current noi...
Dual unitary circuits in random geometries
Yusuf Kasim, T. Prosen·Jun 20, 2022
Recently introduced dual unitary brickwork circuits have been recognised as paradigmatic exactly solvable quantum chaotic many-body systems with tunable degree of ergodicity and mixing. Here we show that regularity of the circuit lattice is not cruci...
Superconducting routing platform for large-scale integration of quantum technologies
C. Thomas, J. Michel, E. Deschaseaux +14 more·Jun 20, 2022
To reach large-scale quantum computing, three-dimensional integration of scalable qubit arrays and their control electronics in multi-chip assemblies is promising. Within these assemblies, the use of superconducting interconnections, as routing lay...
Meta-learning digitized-counterdiabatic quantum optimization
P. Chandarana, Pablo Suárez Vieites, N. N. Hegade +3 more·Jun 20, 2022
The use of variational quantum algorithms for optimization tasks has emerged as a crucial application for the current noisy intermediate-scale quantum computers. However, these algorithms face significant difficulties in finding suitable ansatz and a...
Page curve and symmetries
Pak Hang Chris Lau, Toshifumi Noumi, Yuhei Takii +1 more·Jun 20, 2022
Motivated by the quantum process of black hole evaporation and its implications for symmetries, we consider a qubit system with a random dynamics as a toy model of black hole. We compute its symmetry-resolved entropies and discuss its implications. W...
Laziness, barren plateau, and noises in machine learning
Junyu Liu, Zexi Lin, Liang Jiang·Jun 19, 2022
We define laziness to describe a large suppression of variational parameter updates for neural networks, classical or quantum. In the quantum case, the suppression is exponential in the number of qubits for randomized variational quantum circuits. We...
Quantum implementation of circulant matrices and its use in quantum string processing
A. Daskin·Jun 19, 2022
String problems in general can be solved faster by using special data structures such as suffixes in many cases structured as trees and arrays. In this paper, we show that suffixes used in those data structures can be obtained by using circulant matr...