Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Platform tailored codesign of gate-based quantum simulation
K. Seetharam, Dries Sels, E. Demler·Oct 29, 2021
The utility of near-term quantum computers and simulators is likely to rely upon software-hardware codesign, with error-aware algorithms and protocols optimized for the platforms they are run on. Here, we show how knowledge of noise in a system can b...
Hybrid Quantum-Classical Algorithms for Loan-Collection Optimization with Loan-Loss Provisions
J. Tangpanitanon, Jirawat Saiphet, Pantita Palittapongarnpim +5 more·Oct 29, 2021
Banks are required to set aside funds in their income statement, known as a loan loss provision (LLP), to account for potential loan defaults and expenses. By treating the LLP as a global constraint, we propose a hybrid quantum-classical algorithm to...
TTDFT: A GPU accelerated Tucker tensor DFT code for large-scale Kohn-Sham DFT calculations
Chih-Chuen Lin, V. Gavini·Oct 29, 2021
We present the Tucker tensor DFT (TTDFT) code which uses a tensor-structured algorithm with graphic processing unit (GPU) acceleration for conducting ground-state DFT calculations on large-scale systems. The Tucker tensor DFT algorithm uses a localiz...
Universal Fidelity Reduction of Quantum Operations from Weak Dissipation.
Tahereh Abad, Jorge Fernández-Pendás, Anton Frisk Kockum +1 more·Oct 29, 2021
Quantum information processing is in real systems often limited by dissipation, stemming from remaining uncontrolled interaction with microscopic degrees of freedom. Given recent experimental progress, we consider weak dissipation, resulting in a sma...
Quantum Hamiltonian complexity in thermal equilibrium
S. Bravyi, Anirban Narayan Chowdhury, David Gosset +1 more·Oct 29, 2021
The physical properties of a quantum many-body system in thermal equilibrium are determined by its partition function and free energy. Here we study the computational complexity of approximating these quantities for n-qubit local Hamiltonians. First,...
Quantum-Classical Computational Molecular Design of Deuterated High-Efficiency OLED Emitters
Qi Gao, Gavin O. Jones, M. Sugawara +5 more·Oct 28, 2021
This study describes a hybrid quantum-classical computational approach for designing synthesizable deuterated $Alq_3$ emitters possessing desirable emission quantum efficiencies (QEs). This design process has been performed on the tris(8-hydroxyquino...
Separation of gates in quantum parallel programming
K. He, Shusen Liu, J. Hou·Oct 28, 2021
The number of qubits in current quantum computers is a major restriction on their wider application. To address this issue, Ying conceived of using two or more small-capacity quantum computers to produce a larger-capacity quantum computing system by ...
The effect of quantum noise on algorithmic perfect quantum state transfer on NISQ processors
D. Babukhin, W. Pogosov·Oct 28, 2021
Quantum walks are an analog of classical random walks in quantum systems. Quantum walks have smaller hitting times compared to classical random walks on certain types of graphs, leading to a quantum advantage of quantum-walks-based algorithms. An imp...
Measurement-based time evolution for quantum simulation of fermionic systems
Woojun Lee, Zhangjie Qin, R. Raussendorf +2 more·Oct 27, 2021
Quantum simulation using time evolution in phase estimation-based quantum algorithms can yield unbiased solutions of classically intractable models. However, long runtimes open such algorithms to decoherence. We show how measurement-based quantum sim...
The Quantum Approximate Optimization Algorithm at High Depth for MaxCut on Large-Girth Regular Graphs and the Sherrington-Kirkpatrick Model
J. Basso, E. Farhi, Kunal Marwaha +2 more·Oct 27, 2021
The Quantum Approximate Optimization Algorithm (QAOA) finds approximate solutions to combinatorial optimization problems. Its performance monotonically improves with its depth $p$. We apply the QAOA to MaxCut on large-girth $D$-regular graphs. We giv...
Subtleties in the trainability of quantum machine learning models
Supanut Thanasilp, Samson Wang, Nhat A. Nghiem +2 more·Oct 27, 2021
A new paradigm for data science has emerged, with quantum data, quantum models, and quantum computational devices. This field, called quantum machine learning (QML), aims to achieve a speedup over traditional machine learning for data analysis. Howev...
Re-examining the quantum volume test: Ideal distributions, compiler optimizations, confidence intervals, and scalable resource estimations
C. Baldwin, K. Mayer, N. C. Brown +2 more·Oct 27, 2021
The quantum volume test is a full-system benchmark for quantum computers that is sensitive to qubit number, fidelity, connectivity, and other quantities believed to be important in building useful devices. The test was designed to produce a single-nu...
Understanding holographic error correction via unique algebras and atomic examples
Jason Pollack, Patrick Rall, Andrea Rocchetto·Oct 27, 2021
We introduce a fully constructive characterisation of holographic quantum error-correcting codes. That is, given a code and an erasure error we give a recipe to explicitly compute the terms in the RT formula. Using this formalism, we employ quantum c...
Closing the “Quantum Supremacy” Gap: Achieving Real-Time Simulation of a Random Quantum Circuit Using a New Sunway Supercomputer
Yong Liu, Xin Liu, Fang Li +11 more·Oct 27, 2021
We develop a high-performance tensor-based simulator for random quantum circuits(RQCs) on the new Sunway supercomputer. Our major innovations include: (1) a near-optimal slicing scheme, and a path-optimization strategy that considers both complexity ...
Holographic spacetime, black holes and quantum error correcting codes: a review
Tanay Kibe, Prabha Mandayam, A. Mukhopadhyay·Oct 27, 2021
This article reviews the progress in our understanding of the reconstruction of the bulk spacetime in the holographic correspondence from the dual field theory including an account of how these developments have led to the reproduction of the Page cu...
Quality, Speed, and Scale: three key attributes to measure the performance of near-term quantum computers
Andrew P. Wack, H. Paik, Ali Javadi-Abhari +4 more·Oct 27, 2021
Defining the right metrics to properly represent the performance of a quantum computer is critical to both users and developers of a computing system. In this white paper, we identify three key attributes for quantum computing performance: quality, s...
Russo–dye type theorem, Stinespring representation, and Radon–Nikodým derivative for invariant block multilinear completelypositive maps
Anindya Ghatak, A. Sensarma·Oct 26, 2021
In this article, we investigate certain basic properties of invariant multilinear CP maps. For instance, we prove Russo–Dye type theorem for invariant multilinear positive maps on both commutative C∗\documentclass[12pt]{minimal} \usepackage{amsmath} ...
Deterministic and Entanglement-Efficient Preparation of Amplitude-Encoded Quantum Registers
Prithvi Gundlapalli, Junyi Lee·Oct 26, 2021
Quantum computing promises to provide exponential speed-ups to certain classes of problems. In many such algorithms, a classical vector $\mathbf{b}$ is encoded in the amplitudes of a quantum state $\left |b \right>$. However, efficiently preparing $\...
Phase estimation of local Hamiltonians on NISQ hardware
Laura Clinton, Johannes Bausch, Joel Klassen +1 more·Oct 26, 2021
In this work we investigate a binned version of quantum phase estimation (QPE) set out by Somma (2019 New J. Phys. 21 123025) and known as the quantum eigenvalue estimation problem (). Specifically, we determine whether the circuit decomposition tech...
Halving the cost of quantum multiplexed rotations
G. Low·Oct 26, 2021
We improve the number of $T$ gates needed for a $b$-bit approximation of a multiplexed quantum gate with $c$ controls applying $n$ single-qubit arbitrary phase rotations from $4n b+\mathcal{O}(\sqrt{cn b})$ to $2n b+\mathcal{O}(\sqrt{cn b})$, and red...