Papers
Live trends in quantum computing research, updated daily from arXiv.
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15,685 papers in 12 months (-39% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Non-Markovian Quantum Process Tomography
G. White, F. A. Pollock, L. Hollenberg +2 more·Jun 22, 2021
Characterisation protocols have so far played a central role in the development of noisy intermediate-scale quantum (NISQ) computers capable of impressive quantum feats. This trajectory is expected to continue in building the next generation of devic...
Eliminating Intermediate Measurements using Pseudorandom Generators
Uma Girish, R. Raz·Jun 22, 2021
We show that quantum algorithms of time $T$ and space $S\ge \log T$ with intermediate measurements can be simulated by quantum algorithms of time $T \cdot \mathrm{poly}(S)$ and space $O(S\cdot \log T )$ without intermediate measurements. The best sim...
Generalized "Square roots of Not" matrices, their application to the unveiling of hidden logical operators and to the definition of fully matrix circular Euler functions
E. Mizraji·Jun 22, 2021
The square root of Not is a logical operator of importance in quantum computing theory and of interest as a mathematical object in its own right. In physics, it is a square complex matrix of dimension 2. In the present work it is a complex square mat...
Solving correlation clustering with QAOA and a Rydberg qudit system: a full-stack approach
Jordi R. Weggemans, A. Urech, Alexander Rausch +6 more·Jun 22, 2021
We study the correlation clustering problem using the quantum approximate optimization algorithm (QAOA) and qudits, which constitute a natural platform for such non-binary problems. Specifically, we consider a neutral atom quantum computer and propos...
Quantum-classical hybrid algorithm for the simulation of all-electron correlation.
Jan-Niklas Boyn, A. Lykhin, Scott E. Smart +2 more·Jun 22, 2021
While chemical systems containing hundreds to thousands of electrons remain beyond the reach of quantum devices, hybrid quantum-classical algorithms present a promising pathway toward a quantum advantage. Hybrid algorithms treat the exponentially sca...
Quantum Computing -- A new scientific revolution in the making
K. Bertels, Emma Turki, Tamara Sarac +2 more·Jun 22, 2021
Given the impending timeline of developing good-quality quantum processing units, it is time to rethink the approach to advance quantum computing research. Rather than waiting for quantum hardware technologies to mature, we need to start assessing in...
Qubit heating near a hotspot
G. Kaplanek, C. Burgess, R. Holman·Jun 21, 2021
Effective theories describing black hole exteriors contain many open-system features due to the large number of gapless degrees of freedom that lie beyond reach across the horizon. A simple solvable Caldeira-Leggett type model of a quantum field inte...
Normalized Gradient Descent for Variational Quantum Algorithms
Yudai Suzuki, Hiroshi Yano, Raymond H. Putra +1 more·Jun 21, 2021
Variational quantum algorithms (VQAs) are promising methods that leverage noisy quantum computers and classical computing techniques for practical applications. In VQAs, the classical optimizers such as gradient-based optimizers are utilized to adjus...
LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach
Ethan Smith, M. Davis, Jeffrey Larson +3 more·Jun 21, 2021
While showing great promise, circuit synthesis techniques that combine numerical optimization with search over circuit structures face scalability challenges due to a large number of parameters, exponential search spaces, and complex objective functi...
A near-term quantum simulation of the transverse field Ising model hints at glassy dynamics
Shah Ishmam Mohtashim, Turbasu Chatterjee, Arnav Das +2 more·Jun 21, 2021
We demonstrate quantum circuit simulations of the transverse field Ising model with longitudinal fields, displaying salient features of glassy dynamics. The energy landscape and spin configurations of toy models are considered, using the Variational ...
Designs for a two-dimensional Si quantum dot array with spin qubit addressability
M. Tadokoro, T. Nakajima, Takashi Kobayashi +6 more·Jun 21, 2021
Electron spins in Si are an attractive platform for quantum computation, backed with their scalability and fast, high-fidelity quantum logic gates. Despite the importance of two-dimensional integration with efficient connectivity between qubits for m...
A Non-Commutative Entropic Optimal Transport Approach to Quantum Composite Systems at Positive Temperature
Dario Feliciangeli, Augusto Gerolin, Lorenzo Portinale·Jun 21, 2021
This paper establishes new connections between many-body quantum systems, One-body Reduced Density Matrices Functional Theory (1RDMFT) and Optimal Transport (OT), by interpreting the problem of computing the ground-state energy of a finite dimensiona...
QUBO formulations for numerical quantum computing
Kyungtaek Jun·Jun 21, 2021
With the advent of quantum computers, many quantum computing algorithms are being developed. Solving linear systems is one of the most fundamental problems in almost all science and engineering. The Harrow-Hassidim-Lloyd algorithm, a monumental quant...
Simulation of Condensed-Phase Spectroscopy with Near-Term Digital Quantum Computers.
Chee-Kong Lee, Chang-Yu Hsieh, Shengyu Zhang +1 more·Jun 20, 2021
Spectroscopy is an indispensable tool for understanding the structures and dynamics of molecular systems. However, computational modeling of spectroscopy is challenging due to the exponential scaling of computational complexity with system sizes unle...
Quantum Machine Learning: Fad or Future?
Arhum Ishtiaq, Sara Mahmood·Jun 20, 2021
For the last few decades, classical machine learning has allowed us to improve the lives of many through automation, natural language processing, predictive analytics and much more. However, a major concern is the fact that we're fast approach the th...
On the Cryptographic Hardness of Learning Single Periodic Neurons
M. Song, Ilias Zadik, Joan Bruna·Jun 20, 2021
We show a simple reduction which demonstrates the cryptographic hardness of learning a single periodic neuron over isotropic Gaussian distributions in the presence of noise. More precisely, our reduction shows that any polynomial-time algorithm (not ...
Minimizing Delay in Network Function Visualization with Quantum Computing
Wenlu Xuan, Zhongqi Zhao, Lei Fan +1 more·Jun 20, 2021
Network function virtualization (NFV) is a crucial technology for the 5G network development because it can improve the flexibility of employing hardware and reduce the construction of base stations. There are vast service chains in NFV to meet users...
QFCNN: Quantum Fourier Convolutional Neural Network
Feihong Shen, Jun Liu·Jun 19, 2021
The neural network and quantum computing are both significant and appealing fields, with their interactive disciplines promising for large-scale computing tasks that are untackled by conventional computers. However, both developments are restricted b...
Experimental Quantum State Measurement with Classical Shadows.
Ting Zhang, Jinzhao Sun, Xiao-Xu Fang +3 more·Jun 18, 2021
A crucial subroutine for various quantum computing and communication algorithms is to efficiently extract different classical properties of quantum states. In a notable recent theoretical work by Huang, Kueng, and Preskill [Nat. Phys. 16, 1050 (2020)...
Filtering variational quantum algorithms for combinatorial optimization
D. Amaro, C. Modica, Matthias Rosenkranz +3 more·Jun 18, 2021
Current gate-based quantum computers have the potential to provide a computational advantage if algorithms use quantum hardware efficiently. To make combinatorial optimization more efficient, we introduce the filtering variational quantum eigensolver...