Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Simplified quantum algorithm for the oracle identification problem
Leila Taghavi·Sep 8, 2021
In the oracle identification problem we have oracle access to bits of an unknown string x of length n, with the promise that it belongs to a known set C⊆{0,1}n\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfont...
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper)
Zhiding Liang, Zhepeng Wang, Junhuan Yang +4 more·Sep 8, 2021
In the noisy intermediate-scale quantum (NISQ) era, one of the key questions is how to deal with the high noise level existing in physical quantum bits (qubits). Quantum error correction is promising but requires an extensive number (e.g., over 1,000...
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper)
Zhepeng Wang, Zhiding Liang, Shangli Zhou +4 more·Sep 8, 2021
With the constant increase of the number of quantum bits (qubits) in the actual quantum computers, implementing and accelerating the prevalent deep learning on quantum computers are becoming possible. Along with this trend, there emerge quantum neura...
Variational quantum amplitude estimation
K. Plekhanov, Matthias Rosenkranz, Mattia Fiorentini +1 more·Sep 8, 2021
We propose to perform amplitude estimation with the help of constant-depth quantum circuits that variationally approximate states during amplitude amplification. In the context of Monte Carlo (MC) integration, we numerically show that shallow circuit...
Paulihedral: a generalized block-wise compiler optimization framework for Quantum simulation kernels
Gushu Li, Anbang Wu, Yunong Shi +3 more·Sep 7, 2021
The quantum simulation kernel is an important subroutine appearing as a very long gate sequence in many quantum programs. In this paper, we propose Paulihedral, a block-wise compiler framework that can deeply optimize this subroutine by exploiting hi...
QEnclave - A practical solution for secure quantum cloud computing
Yao Ma, E. Kashefi, Myrto Arapinis +2 more·Sep 7, 2021
We introduce a secure hardware device named a QEnclave that can secure the remote execution of quantum operations while only using classical controls. This device extends to quantum computing from the classical concept of a secure enclave that isolat...
Hybridized Methods for Quantum Simulation in the Interaction Picture
A. Rajput, A. Roggero, N. Wiebe·Sep 7, 2021
Conventional methods of quantum simulation involve trade-offs that limit their applicability to specific contexts where their use is optimal. In particular, the interaction picture simulation has been found to provide substantial asymptotic advantage...
Miniaturizing Transmon Qubits Using van der Waals Materials.
Abhinandan Antony, M. Gustafsson, G. Ribeill +8 more·Sep 7, 2021
Quantum computers can potentially achieve an exponential speedup versus classical computers on certain computational tasks, recently demonstrated in superconducting qubit processors. However, the capacitor electrodes that comprise these qubits must b...
Algorithm for computing Representations of the Braid Group and Temperley-Lieb algebra
Yitzchak Shmalo·Sep 7, 2021
The braid group appears in many scientific fields and its representations are instrumental in understanding topological quantum algorithms, topological entropy, classification of manifolds and so on. In this work, we study planer diagrams which are K...
Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper)
M. Alam, Satwik Kundu, R. Topaloglu +1 more·Sep 7, 2021
Image classification is a major application domain for conventional deep learning (DL). Quantum machine learning (QML) has the potential to revolutionize image classification. In any typical DL-based image classification, we use convolutional neural ...
Emerging quantum computing algorithms for quantum chemistry
M. Motta, J. Rice·Sep 7, 2021
Digital quantum computers provide a computational framework for solving the Schrödinger equation for a variety of many‐particle systems. Quantum computing algorithms for the quantum simulation of these systems have recently witnessed remarkable growt...
Universal Quantum Computing with Twist-Free and Temporally Encoded Lattice Surgery
C. Chamberland, E. Campbell·Sep 6, 2021
Lattice surgery protocols allow for the efficient implementation of universal gate sets with two-dimensional topological codes where qubits are constrained to interact with one another locally. In this work, we first introduce a decoder capable of co...
QSSA: an SSA-based IR for Quantum computing
Anurudh Peduri, Siddharth Bhat, T. Grosser·Sep 6, 2021
Quantum computing hardware has progressed rapidly. Simultaneously, there has been a proliferation of programming languages and program optimization tools for quantum computing. Existing quantum compilers use intermediate representations (IRs) where q...
High-fidelity magic-state preparation with a biased-noise architecture
Shraddha Singh, A. Darmawan, Benjamin J. Brown +1 more·Sep 6, 2021
Magic state distillation is a resource intensive subroutine that consumes noisy input states to produce high-fidelity resource states that are used to perform logical operations in practical quantum-computing architectures. The resource cost of magic ...
Gottesman Types for Quantum Programs
Robert Rand, Aarthi Sundaram, Kartik Singhal +1 more·Sep 6, 2021
The Heisenberg representation of quantum operators provides a powerful technique for reasoning about quantum circuits, albeit those restricted to the common (non-universal) Clifford set H, S and CNOT. The Gottesman-Knill theorem showed that we can us...
Quantum kernels to learn the phases of quantum matter
Teresa Sancho-Lorente, Juan Rom'an-Roche, D. Zueco·Sep 6, 2021
Classical machine learning has succeeded in the prediction of both classical and quantum phases of matter. Notably, kernel methods stand out for their ability to provide interpretable results, relating the learning process with the physical order par...
Dephasing of Exchange‐Coupled Spins in Quantum Dots for Quantum Computing
Peihao Huang·Sep 6, 2021
A spin qubit in semiconductor quantum dots holds promise for quantum information processing for scalability and long coherence time. An important semiconductor qubit system is a double quantum dot trapping two electrons or holes, whose spin states en...
Towards a Larger Molecular Simulation on the Quantum Computer: Up to 28 Qubits Systems Accelerated by Point Group Symmetry
Changsu Cao, Jiaqi Hu, Wengang Zhang +7 more·Sep 5, 2021
The exact evaluation of the molecular ground state in quantum chemistry requires an exponentially increasing computational cost. Quantum computation is a promising way to overcome the exponential problem using polynomial-time quantum algorithms. A qu...
Hierarchical qubit maps and hierarchically implemented quantum error correction
N. Klco, M. Savage·Sep 5, 2021
We consider hierarchically implemented quantum error correction (HI-QEC), in which the fidelities of logical qubits are differentially optimized to enhance the capabilities of quantum devices in scientific applications. By employing qubit representat...
On the query complexity of connectivity with global queries
Arinta Auza, Troy Lee·Sep 5, 2021
We study the query complexity of determining if a graph is connected with global queries. The first model we look at is matrix-vector multiplication queries to the adjacency matrix. Here, for an $n$-vertex graph with adjacency matrix $A$, one can que...