Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Exploring superadditivity of coherent information of noisy quantum channels through genetic algorithms
Govind Lal Sidhardh, Mir Alimuddin, Manik Banik·Jan 11, 2022
Machine learning techniques are increasingly being used in fundamental research to solve various challenging problems. Here we explore one such technique to address an important problem in quantum communication scenario. While transferring quantum in...
Full-Wave Methodology to Compute the Spontaneous Emission Rate of a Transmon Qubit
T. Roth, W. C. Chew·Jan 11, 2022
The spontaneous emission rate (SER) is an important figure of merit for any quantum bit (qubit), as it can play a significant role in the control and decoherence of the qubit. As a result, accurately characterizing the SER for practical devices is an...
Systematic Literature Review: Quantum Machine Learning and its applications
David Peral Garc'ia, Juan Cruz-Benito, Francisco Jos'e Garc'ia-Penalvo·Jan 11, 2022
Quantum computing is the process of performing calculations using quantum mechanics. This field studies the quantum behavior of certain subatomic particles for subsequent use in performing calculations, as well as for large-scale information processi...
Quantum tomography for quantum systems optimization
B. Bantysh, Y. Bogdanov·Jan 10, 2022
Debugging quantum states transformations is an important task of modern quantum computing. The use of quantum tomography for these purposes significantly expands the range of possibilities. However, the presence of preparation and measurement errors ...
Erasure conversion for fault-tolerant quantum computing in alkaline earth Rydberg atom arrays
Yue Wu, S. Kolkowitz, S. Puri +1 more·Jan 10, 2022
Executing quantum algorithms on error-corrected logical qubits is a critical step for scalable quantum computing, but the requisite numbers of qubits and physical error rates are demanding for current experimental hardware. Recently, the development ...
EP-PQM: Efficient Parametric Probabilistic Quantum Memory With Fewer Qubits and Gates
Mushahid Khan, J. Faye, U. C. Mendes +1 more·Jan 10, 2022
Machine learning (ML) classification tasks can be carried out on a quantum computer (QC) using probabilistic quantum memory (PQM) and its extension, parametric PQM (P-PQM), by calculating the Hamming distance between an input pattern and a database o...
Fast optimal structures generator for parameterized quantum circuits
Chuangtao Chen, Zhimin He, Shenggen Zheng +2 more·Jan 10, 2022
Current structure optimization algorithms optimize the structure of quantum circuit from scratch for each new task of variational quantum algorithms (VQAs) without using any prior experience, which is inefficient and time-consuming. Besides, the number...
Quantum activation functions for quantum neural networks
Marco Maronese, C. Destri, E. Prati·Jan 10, 2022
The field of artificial neural networks is expected to strongly benefit from recent developments of quantum computers. In particular, quantum machine learning, a class of quantum algorithms which exploit qubits for creating trainable neural networks,...
Entanglement in the quantum phases of an unfrustrated Rydberg atom array
M. O’Rourke, G. Chan·Jan 10, 2022
Recent experimental advances have stimulated interest in the use of large, two-dimensional arrays of Rydberg atoms as a platform for quantum information processing and to study exotic many-body quantum states. However, the native long-range interacti...
A Full Dichotomy for $\hol^{c}$, Inspired by Quantum Computation
Miriam Backens·Jan 10, 2022
Holant problems are a family of counting problems parameterised by sets of algebraic-complex valued constraint functions, and defined on graphs. They arise from the theory of holographic algorithms, which was originally inspired by concepts from quan...
Quantum Distributed Algorithms for Detection of Cliques
K. Censor-Hillel, O. Fischer, Franccois Le Gall +2 more·Jan 9, 2022
The possibilities offered by quantum computing have drawn attention in the distributed computing community recently, with several breakthrough results showing quantum distributed algorithms that run faster than the fastest known classical counterpart...
High-fidelity tracking of the evolution of multilevel quantum states
Yurii I. Bogdanov, Nadezhda A. Bogdanova, Yurii A. Kuznetsov +1 more·Jan 9, 2022
The method of quantum tomography, which allows us to track with high accuracy the evolution of multilevel quantum systems (qudits) in Hilbert spaces of various dimensions is presented. The developed algorithms for quantum control are based on the use...
Bethe states on a quantum computer: success probability and correlation functions
Wen Li, Mert Okyay, Rafael I. Nepomechie·Jan 9, 2022
A probabilistic algorithm for preparing Bethe eigenstates of the spin-1/2 Heisenberg spin chain on a quantum computer has recently been found. We derive an exact formula for the success probability of this algorithm in terms of the Gaudin determinant...
Study of the effect of quantum noise on the accuracy of the Schrödinger equation simulation on a quantum computer using the Zalka-Wiesner method
Yurii I. Bogdanov, N. Bogdanova, D. V. Fastovets +1 more·Jan 9, 2022
The study of the effect of quantum noise on the accuracy of modeling quantum systems on a quantum computer using the Zalka-Wiesner method is carried out. The efficiency of the developed methods and algorithms is demonstrated by the example of solving...
Orders of magnitude reduction in the computational overhead for quantum many-body problems on quantum computers via an exact transcorrelated method
I. O. Sokolov, Werner Dobrautz, Hongjun Luo +2 more·Jan 9, 2022
Transcorrelated methods provide an efficient way of partially transferring the description of electronic correlations from the ground state wavefunction directly into the underlying Hamiltonian. In particular, Dobrautz et al. [Phys. Rev. B, 99(7), 07...
High-fidelity tomography of fluorescent ion qubits under conditions of limited discrimination between bright and dark levels
Y. Bogdanov, B. Bantysh, Nadezhda A. Bogdanova +2 more·Jan 9, 2022
The present work is devoted to the development of a method for high-precision tomography of ion qubit registers under conditions of limited distinguishability of the states of a logical value 0 and a logical value 1. In the considered ion qubits, the...
A Survey of Quantum Computing for Finance
Dylan Herman, Cody Googin, Xiaoyuan Liu +5 more·Jan 8, 2022
Quantum computers are expected to surpass the computational capabilities of classical computers during this decade and have transformative impact on numerous industry sectors, particularly finance. In fact, finance is estimated to be the first indust...
Simulating molecules using the VQE algorithm on Qiskit
A. Anaya, F. Delgado·Jan 8, 2022
Introduction Feynman’s ideas to employ quantum systems for simulating other quantum systems [1] gave rise to quantum simulation [2]. While current quantum computers are still prone to decoherence and rely on error correction [3], the development of h...
Quantum Computing: Fundamentals, Trends and Perspectives for Chemical and Biochemical Engineers
A. Nourbakhsh, M. Jones, Kaur Kristjuhan +7 more·Jan 8, 2022
We use the benefits and components of classical computers every day. However, there are many types of problems which, as they grow in size, their computational complexity grows larger than classical computers will ever be able to solve. Quantum compu...
Measuring NISQ Gate-Based Qubit Stability Using a 1+1 Field Theory and Cycle Benchmarking
Kubra Yeter-Aydeniz, Zachary P. Parks, A. Nair +5 more·Jan 8, 2022
Some of the most problematic issues that limit the implementation of applications on Noisy Intermediate Scale Quantum (NISQ) machines are the adverse impacts of both incoherent and coherent errors. We conducted an in-depth study of coherent errors on...