Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Trapped-Ion Quantum Computer with Robust Entangling Gates and Quantum Coherent Feedback
T. Manovitz, Yotam Shapira, L. Gazit +2 more·Nov 7, 2021
Quantum computers are expected to achieve a significant speed-up over classical computers in solving a range of computational problems. Chains of ions held in a linear Paul trap are a promising platform for constructing such quantum computers, due to...
Estimating Phosphorescent Emission Energies in IrIII Complexes Using Large-Scale Quantum Computing Simulations.
Scott N. Genin, I. G. Ryabinkin, Nathan R. Paisley +3 more·Nov 7, 2021
Here we calculate T1 →S0 transition energies in nine phosphorescent iridium complexes using the iterative qubit coupled cluster (iQCC) method to determine if quantum simulations have any advantages over classical methods. These simulations would requ...
Noise-assisted variational quantum thermalization
Jonathan Foldager, Arthur Pesah, L. K. Hansen·Nov 6, 2021
Preparing thermal states on a quantum computer can have a variety of applications, from simulating many-body quantum systems to training machine learning models. Variational circuits have been proposed for this task on near-term quantum computers, bu...
Parallel Simulation of Quantum Networks with Distributed Quantum State Management
Xiaoliang Wu, Alexander Kolar, Joaquín Chung +3 more·Nov 6, 2021
Quantum network simulators offer the opportunity to cost-efficiently investigate potential avenues for building networks that scale with the number of users, communication distance, and application demands by simulating alternative hardware designs a...
The Impact of Logical Errors on Quantum Algorithms
Omer Subasi, S. Krishnamoorthy·Nov 5, 2021
In this work, we explore the impact of logical stochastic Pauli and coherent Z-rotation errors on quantum algorithms. We evaluate six canonical quantum algorithms' intrinsic resilience to the logical qubit and gate errors by performing the Monte Carl...
Quantum algorithms for unsupervised machine learning and neural networks
Jonas Landman·Nov 5, 2021
Cette thèse vise à étudier si les algorithmes quantiques peuvent être utilisés dans le domaine de l'apprentissage automatique, ou intelligence artificielle. Nous rappelons d'abord les principes fondamentaux de l'apprentissage automatique et de l'in...
Coupled Cluster Downfolding Theory: towards efficient many-body algorithms for dimensionality reduction of composite quantum systems
Nicholas P. Bauman, K. Kowalski·Nov 5, 2021
The recently introduced coupled cluster (CC) downfolding techniques for reducing the dimensionality of quantum many-body problems recast the CC formalism in the form of the renormalization procedure allowing, for the construction of effective (or dow...
Succinct Description and Efficient Simulation of Non-Markovian Open Quantum Systems
Xiantao Li, Chunhao Wang·Nov 5, 2021
Non-Markovian open quantum systems represent the most general dynamics when the quantum system is coupled with a bath environment. The quantum dynamics arising from many important applications are non-Markovian. Although for special cases, such as Ha...
Probing the entanglement of operator growth
Dimitrios Patramanis·Nov 5, 2021
In this work we probe the operator growth for systems with Lie symmetry using tools from quantum information. Namely, we investigate the Krylov complexity, entanglement negativity, von Neumann entropy and capacity of entanglement for systems with SU(...
String Abstractions for Qubit Mapping
Blake Gerard, Martin Kong·Nov 5, 2021
One of the key compilation steps in Quantum Computing (QC) is to determine an initial logical to physical mapping of the qubits used in a quantum circuit. The impact of the starting qubit layout can vastly affect later scheduling and placement decisi...
Reachable-set characterization of an open quantum system by the quantum speed limit
K. Kobayashi·Nov 5, 2021
In recent years, Arenz et al. proposed the idea of reachable set characterization based on the quantum speed limit (QSL); that is, the reachable set of the target unitary gate in a closed qubit system can be characterized by considering the QSL as th...
Solving the Sampling Problem of the Sycamore Quantum Circuits.
Feng Pan, Keyang Chen, P. Zhang·Nov 4, 2021
We study the problem of generating independent samples from the output distribution of Google's Sycamore quantum circuits with a target fidelity, which is believed to be beyond the reach of classical supercomputers and has been used to demonstrate qu...
Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics
Dong An, Di Fang, Lin Lin·Nov 4, 2021
We propose a simple quantum algorithm for simulating highly oscillatory quantum dynamics, which does not require complicated quantum control logic for handling time-ordering operators. To our knowledge, this is the first quantum algorithm that is bot...
Spin-networks in the ZX-calculus
R. East, P. Martin-Dussaud, J. Wetering·Nov 4, 2021
The ZX-calculus, and the variant we consider in this paper, the ZXH-calculus, are formal diagrammatic languages for qubit quantum computing. In this paper we will show that this language can also be used to describe SU(2) representation theory. To ac...
Graph neural network initialisation of quantum approximate optimisation
Nishant Jain, Brian Coyle, E. Kashefi +1 more·Nov 4, 2021
Approximate combinatorial optimisation has emerged as one of the most promising application areas for quantum computers, particularly those in the near term. In this work, we focus on the quantum approximate optimisation algorithm (QAOA) for solving ...
Strategies to simulate dephasing-assisted quantum transport on digital quantum computers
Federico Gallina, Matteo Bruschi, B. Fresch·Nov 4, 2021
Simulating charge and energy transfer in extended molecular networks requires an effective model to include the environment because it significantly affects the quantum dynamics. A prototypical effect known as environment-assisted quantum transport (...
Quantum tangent kernel
Norihito Shirai, K. Kubo, K. Mitarai +1 more·Nov 4, 2021
The quantum kernel method is one of the key approaches to quantum machine learning, which has the advantage of not requiring optimization and its theoretical simplicity. By virtue of these properties, several experimental demonstrations and discussio...
Inapproximability of Positive Semidefinite Permanents and Quantum State Tomography
Alexander Meiburg·Nov 4, 2021
Matrix permanents are hard to compute or even estimate in general. It had been previously suggested that the permanents of Positive Semidefinite (PSD) matrices may have efficient approximations. By relating PSD permanents to a task in quantum state t...
Quantum search-to-decision reductions and the state synthesis problem
S. Irani, Anand Natarajan, Chinmay Nirkhe +2 more·Nov 4, 2021
It is a useful fact in classical computer science that many search problems are reducible to decision problems; this has led to decision problems being regarded as the de facto computational task to study in complexity theory. In this work, we explor...
Low-Rank Quantum State Preparation
Israel F. Araujo, Carsten Blank, Ismael C. S. Araújo +1 more·Nov 4, 2021
Ubiquitous in quantum computing is the step to encode data into a quantum state. This process is called quantum state preparation, and its complexity for nonstructured data is exponential on the number of qubits. Several works address this problem, f...