Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Variational Hamiltonian Diagonalization for Dynamical Quantum Simulation
Benjamin Commeau, M. Cerezo, Zoe Holmes +3 more·Sep 5, 2020
Dynamical quantum simulation may be one of the first applications to see quantum advantage. However, the circuit depth of standard Trotterization methods can rapidly exceed the coherence time of noisy quantum computers. This has led to recent proposa...
Quantum algorithm for a set of quantum 2SAT problems
Yanglin Hu, Zhelun Zhang, Biao Wu·Sep 5, 2020
We present a quantum adiabatic algorithm for a set of quantum 2-satisfiability (Q2SAT) problem, which is a generalization of 2-satisfiability (2SAT) problem. For a Q2SAT problem, we construct the Hamiltonian which is similar to that of a Heisenberg c...
SlackQ : Approaching the Qubit Mapping Problem with A Slack-aware Swap Insertion Scheme
Chi Zhang, Yan-Hao Chen, Yuwei Jin +3 more·Sep 4, 2020
The rapid progress of physical implementation of quantum computers paved the way for the design of tools to help users write quantum programs for any given quantum device. The physical constraints inherent in current NISQ architectures prevent most q...
Virtualized Logical Qubits: A 2.5D Architecture for Error-Corrected Quantum Computing
Casey Duckering, Jonathan M. Baker, D. Schuster +1 more·Sep 4, 2020
Current, near-term quantum devices have shown great progress in the last several years culminating recently with a demonstration of quantum supremacy. In the medium-term, however, quantum machines will need to transition to greater reliability throug...
Verifying Results of the IBM Qiskit Quantum Circuit Compilation Flow
Lukas Burgholzer, Rudy Raymond, R. Wille·Sep 4, 2020
Realizing a conceptual quantum algorithm on an actual physical device necessitates the algorithm's quantum circuit description to undergo certain transformations in order to adhere to all constraints imposed by the hardware. In this regard, the indiv...
Classical variational simulation of the Quantum Approximate Optimization Algorithm
Matija Medvidović, Giuseppe Carleo·Sep 3, 2020
A key open question in quantum computing is whether quantum algorithms can potentially offer a significant advantage over classical algorithms for tasks of practical interest. Understanding the limits of classical computing in simulating quantum syst...
Evolutionary Computation for Adaptive Quantum Device Design
Luke Mortimer, M. Estarellas, T. Spiller +1 more·Sep 3, 2020
As noisy intermediate‐scale quantum (NISQ) devices grow in number of qubits, determining good or even adequate parameter configurations for a given application, or for device calibration, becomes a cumbersome task. An evolutionary algorithm is presen...
Qibo: a framework for quantum simulation with hardware acceleration
Stavros Efthymiou, Sergi Ramos-Calderer, Carlos Bravo-Prieto +5 more·Sep 3, 2020
We present Qibo, a new open-source software for fast evaluation of quantum circuits and adiabatic evolution which takes full advantage of hardware accelerators. The growing interest in quantum computing and the recent developments of quantum hardware...
A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud
Wenjie Liu, Ying Zhang, Zhiliang Deng +2 more·Sep 3, 2020
As an emerging field that aims to bridge the gap between human activities and computing systems, human-centered computing (HCC) in cloud, edge, fog has had a huge impact on the artificial intelligence algorithms. The quantum generative adversarial ne...
Quantum HF/DFT-embedding algorithms for electronic structure calculations: Scaling up to complex molecular systems.
Max Rossmannek, P. Barkoutsos, Pauline J. Ollitrault +1 more·Sep 3, 2020
In the near future, material and drug design may be aided by quantum computer assisted simulations. These have the potential to target chemical systems intractable by the most powerful classical computers. However, the resources offered by contempora...
Quantum Long Short-Term Memory
Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang·Sep 3, 2020
Long short-term memory (LSTM) is a kind of recurrent neural networks (RNN) for sequence and temporal dependency data modeling and its effectiveness has been extensively established. In this work, we propose a hybrid quantum-classical model of LSTM, w...
Benchmarking 50-Photon Gaussian Boson Sampling on the Sunway TaihuLight
Yuxuan Li, L. Gan, Ming-Cheng Chen +6 more·Sep 2, 2020
Boson sampling is expected to be an important milestone that will demonstrate quantum computational advantage (or quantum supremacy). This work establishes the benchmarking of Gaussian boson sampling (GBS) with threshold detection based on the Sunway...
Electronic structure with direct diagonalization on a D-wave quantum annealer
A. Teplukhin, B. Kendrick, S. Tretiak +1 more·Sep 2, 2020
Quantum chemistry is regarded to be one of the first disciplines that will be revolutionized by quantum computing. Although universal quantum computers of practical scale may be years away, various approaches are currently being pursued to solve quan...
Fully-programmable universal quantum simulator with a one-dimensional quantum processor
V. Bastidas, T. Haug, C. Gravel +3 more·Sep 2, 2020
Current quantum devices execute specific tasks that are hard for classical computers and have the potential to solve problems such as quantum simulation of material science and chemistry, even without error correction. For practical applications it i...
Quingo: A Programming Framework for Heterogeneous Quantum-Classical Computing with NISQ Features
Xiang Fu, Jintao Yu, Xingping Su +20 more·Sep 2, 2020
The increasing control complexity of Noisy Intermediate-Scale Quantum (NISQ) systems underlines the necessity of integrating quantum hardware with quantum software. While mapping heterogeneous quantum-classical computing (HQCC) algorithms to NISQ har...
Quantum discriminator for binary classification
Prasanna Date, Wyatt Smith·Sep 2, 2020
Quantum computers have the unique ability to operate relatively quickly in high-dimensional spaces—this is sought to give them a competitive advantage over classical computers. In this work, we propose a novel quantum machine learning model called th...
Control and readout of a superconducting qubit using a photonic link
F. Lecocq, F. Quinlan, K. Cicak +3 more·Sep 2, 2020
Delivering on the revolutionary promise of a universal quantum computer will require processors with millions of quantum bits (qubits)1–3. In superconducting quantum processors4, each qubit is individually addressed with microwave signal lines that c...
Maximal Entropy Approach for Quantum State Tomography
Rishabh Gupta, Rongxin Xia, R. Levine +1 more·Sep 2, 2020
Quantum computation has been growing rapidly in both theory and experiments. In particular, quantum computing devices with a large number of qubits have been developed by IBM, Google, IonQ, and others. The current quantum computing devices are noisy ...
Laser-annealing Josephson junctions for yielding scaled-up superconducting quantum processors
J. Hertzberg, E. Zhang, S. Rosenblatt +8 more·Sep 2, 2020
As superconducting quantum circuits scale to larger sizes, the problem of frequency crowding proves a formidable task. Here we present a solution for this problem in fixed-frequency qubit architectures. By systematically adjusting qubit frequencies p...
Asymmetry of CNOT gate operation in superconducting transmon quantum processors using cross-resonance entangling
Travis Hurant, D. Stancil·Sep 2, 2020
Controlled-NOT (CNOT) gates are commonly included in the standard gate set of quantum processors and provide an important way to entangle qubits. For fixed-frequency qubits using the cross-resonance entangling technique, using the higher-frequency qu...