Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Blueprinting quantum computing systems
S. Devitt·Jun 1, 2022
The development of quantum computing systems has been a staple of academic research since the mid-1990s when the first proposal for physical platforms were proposed using Nuclear Magnetic Resonance and Ion-Trap hardware. These first proposals were ve...
A technical note for a Shor's algorithm by phase estimation
G. Fleury, P. Lacomme·Jun 1, 2022
The objective of this paper concerns at first the motivation and the method of Shor's algorithm including an excursion into quantum mechanics and quantum computing introducing an algorithmic description of the method. The corner stone of the Shor's a...
Quantum circuits for discrete graphical models
N. Piatkowski, Christa Zoufal·Jun 1, 2022
Graphical models are useful tools for describing structured high-dimensional probability distributions. The development of efficient algorithms for generating samples thereof remains an active research topic. In this work, we provide a quantum algori...
Commutation simulator for open quantum dynamics
J. Joo, T. Spiller·Jun 1, 2022
Recent progress in quantum simulation and algorithms has demonstrated a rapid expansion in capabilities. The search continues for new techniques and applications to exploit quantum advantage. Here we propose an innovative method to investigate direct...
A Hybrid Quantum-Classical CFD Methodology with Benchmark HHL Solutions
L. Lapworth·Jun 1, 2022
There has been significant progress in the development of quantum algorithms for solving linear systems of equations with a growing body of applications to Computational Fluid Dynamics (CFD) and CFD-like problems. This work extends previous work by de...
Device-independent Quantum Fingerprinting for Large Scale Localization
A. Shokry, Maged A. Youssef·Jun 1, 2022
Although RF fingerprinting is one of the most commonly used techniques for localization, deploying it in a ubiquitous manner requires addressing the challenge of supporting a large number of heterogeneous devices and their variations. We present QHFP...
Quantum Algorithm for Higher-Order Unconstrained Binary Optimization and MIMO Maximum Likelihood Detection
Masaya Norimoto, R. Mori, Naoki Ishikawa·May 31, 2022
In this paper, we propose a quantum algorithm that supports a real-valued higher-order unconstrained binary optimization (HUBO) problem. This algorithm is based on the Grover adaptive search that originally supported HUBO with integer coefficients. N...
Intermediate Qutrit-based Improved Quantum Arithmetic Operations with Application on Financial Derivative Pricing
A. Saha, Turbasu Chatterjee, A. Chattopadhyay +1 more·May 31, 2022
Efficient quantum realizations of arithmetic operations, such as multiplication/division, addition/subtraction, square root, and arcsine - are of utmost importance for several quantum algorithms of practical importance. In literature, such implementa...
Cavity-Based Reservoir Engineering for Floquet-Engineered Superconducting Circuits.
F. Petiziol, A. Eckardt·May 31, 2022
Considering the example of superconducting circuits, we show how Floquet engineering can be combined with reservoir engineering for the controlled preparation of target states. Floquet engineering refers to the control of a quantum system by means of...
Experimental Single-Setting Quantum State Tomography
R. Stricker, M. Meth, L. Postler +7 more·May 31, 2022
Quantum computers solve ever more complex tasks using steadily growing system sizes. Characterizing these quantum systems is vital, yet becoming increasingly challenging. The gold-standard is quantum state tomography (QST), capable of fully reconstru...
Quantum Annealing Sampling with a Bias Field
T. Grass·May 31, 2022
The presence of a bias field, encoding some information about the target state, can enhance the performance of quantum optimization methods. Here we investigate the effect of such a bias field on the outcome of quantum annealing sampling, at the example...
Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets
Zongqi Wan, Zhijie Zhang, Tongyang Li +2 more·May 30, 2022
Multi-arm bandit (MAB) and stochastic linear bandit (SLB) are important models in reinforcement learning, and it is well-known that classical algorithms for bandits with time horizon T suffer from the regret of at least the square root of T. In this ...
Towards near-term quantum simulation of materials
Laura Clinton, T. Cubitt, Brian Flynn +6 more·May 30, 2022
Determining the ground and excited state properties of materials is considered one of the most promising applications of quantum computers. On near-term hardware, the limiting constraint on such simulations is the requisite circuit depths and qubit n...
Digital quantum simulation of an extended Agassi model: Using machine learning to disentangle its phase-diagram
Álvaro Sáiz, J. García-Ramos, J. M. Arias +2 more·May 30, 2022
A digital quantum simulation for the extended Agassi model is proposed using a quantum platform with eight trapped ions. The extended Agassi model is an analytically solvable model including both short range pairing and long range monopole-monopole i...
Quantum-assisted Monte Carlo algorithms for fermions
Xiaosi Xu, Ying Li·May 30, 2022
Quantum computing is a promising way to systematically solve the longstanding computational problem, the ground state of a many-body fermion system. Many efforts have been made to realise certain forms of quantum advantage in this problem, for instan...
Approaching optimal entangling collective measurements on quantum computing platforms
Lorcán O. Conlon, Tobias Vogl, Christian D. Marciniak +9 more·May 30, 2022
Entanglement is a fundamental feature of quantum mechanics and holds great promise for enhancing metrology and communications. Much of the focus of quantum metrology so far has been on generating highly entangled quantum states that offer better sens...
Running the Dual-PQC GAN on noisy simulators and real quantum hardware
Su Yeon Chang, Edwin Agnew, E. Combarro +3 more·May 30, 2022
In an earlier work [1], we introduced dual-Parameterized Quantum Circuit (PQC) Generative Adversarial Networks (GAN), an advanced prototype of quantum GAN. We applied the model on a realistic High-Energy Physics (HEP) use case: the exact theoretical ...
Towards retrieving dispersion profiles using quantum-mimic Optical Coherence Tomography and Machine Learnin
Krzysztof A. Maliszewski, P. Kolenderski, V. Vetrova +1 more·May 30, 2022
Artefacts in quantum-mimic optical coherence tomography are considered detrimental because they scramble the images even for the simplest objects. They are a side effect of autocorrelation, which is used in the quantum entanglement mimicking algorith...
Estimation of the geometric measure of entanglement with Wehrl moments through artificial neural networks
J'erome Denis, F. Damanet, John Martin·May 30, 2022
In recent years, artificial neural networks (ANNs) have become an increasingly popular tool for studying problems in quantum theory, and in particular entanglement theory. In this work, we analyse to what extent ANNs can accurately predict the geomet...
Accurate and Efficient Quantum Computations of Molecular Properties Using Daubechies Wavelet Molecular Orbitals: A Benchmark Study against Experimental Data
Chengyun Hong, Ting Tsai, J. Chou +8 more·May 28, 2022
Although quantum computation (QC) is regarded as a promising numerical method for computational quantum chemistry, current applications of quantum-chemistry calculations on quantum computers are limited to small molecules. This limitation can be ascr...