Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum circuits for discrete graphical models
N. Piatkowski, Christa Zoufal·Jun 1, 2022
Graphical models are useful tools for describing structured high-dimensional probability distributions. The development of efficient algorithms for generating samples thereof remains an active research topic. In this work, we provide a quantum algori...
Characterizing and mitigating coherent errors in a trapped ion quantum processor using hidden inverses
Swarnadeep Majumder, C. Yale, Titus Morris +6 more·May 27, 2022
Quantum computing testbeds exhibit high-fidelity quantum control over small collections of qubits, enabling performance of precise, repeatable operations followed by measurements. Currently, these noisy intermediate-scale devices can support a suffic...
Future Computer Systems and Networking Research in the Netherlands: A Manifesto
A. Iosup, F. Kuipers, A. Varbanescu +6 more·May 26, 2022
Our modern society and competitive economy depend on a strong digital foundation and, in turn, on sustained research and innovation in computer systems and networks (CompSys). With this manifesto, we draw attention to CompSys as a vital part of ICT. ...
Efficient generation of entangled multiphoton graph states from a single atom
P. Thomas, L. Ruscio, O. Morin +1 more·May 25, 2022
The central technological appeal of quantum science resides in exploiting quantum effects, such as entanglement, for a variety of applications, including computing, communication and sensing1. The overarching challenge in these fields is to address, ...
Squeezing and quantum approximate optimization
Gopal Chandra Santra, F. Jendrzejewski, P. Hauke +1 more·May 20, 2022
Variational quantum algorithms offer fascinating prospects for the solution of combinatorial optimization problems using digital quantum computers. However, the achievable performance in such algorithms and the role of quantum correlations therein re...
Conditional Born machine for Monte Carlo events generation
Oriel Kiss, M. Grossi, E. Kajomovitz +1 more·May 16, 2022
Generative modeling is a promising task for near-term quantum devices, which can use the stochastic nature of quantum measurements as a random source. So called Born machines are purely quantum models and promise to generate probability distributions...
Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers
Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini +3 more·May 9, 2022
Feature selection is a common step in many ranking, classification, or prediction tasks and serves many purposes. By removing redundant or noisy features, the accuracy of ranking or classification can be improved and the computational cost of the sub...
Pauli String Partitioning Algorithm with the Ising Model for Simultaneous Measurements
·May 9, 2022
We propose an efficient algorithm for partitioning Pauli strings into subgroups, which can be simultaneously measured in a single quantum circuit. Our partitioning algorithm drastically reduces the total number of measurements in a variational quantu...
Pre-Distribution of Entanglements in Quantum Networks
Mohammad Ghaderibaneh, Himanshu Gupta, C. Ramakrishnan +1 more·May 9, 2022
Quantum network communication is challenging, as the No-Cloning theorem in quantum regime makes many classical techniques inapplicable. For long-distance communication, the only viable approach is teleportation of quantum states, which requires a pri...
ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse
Jongmin Kim, Gwangho Lee, Sangpyo Kim +4 more·May 2, 2022
Homomorphic Encryption (HE) is one of the most promising post-quantum cryptographic schemes that enable privacy-preserving computation on servers. However, noise accumulates as we perform operations on HE-encrypted data, restricting the number of pos...
BILP-Q: quantum coalition structure generation
Supreeth Mysore Venkatesh, A. Macaluso, M. Klusch·Apr 28, 2022
Quantum AI is an emerging field that uses quantum computing to solve typical complex problems in AI. In this work, we propose BILP-Q, the first-ever general quantum approach for solving the Coalition Structure Generation problem (CSGP), which is nota...
On the detailed structure of quantum control landscape for fast single qubit phase-shift gate generation
B. Volkov, A. Pechen·Apr 28, 2022
In this work, we study the detailed structure of quantum control landscape for the problem of single-qubit phase shift gate generation on the fast time scale. In previous works, the absence of traps for this problem was proven on various time scales....
Reinforcement-learning generation of four-qubit entangled states
Sara Giordano, M. Martin-Delgado·Apr 26, 2022
We have devised an artificial intelligence algorithm with machine reinforcement learning (Q-learning) to construct remarkable entangled states with 4 qubits. This way, the algorithm is able to generate representative states for some of the 49 true SL...
Towards compact phase-matched and waveguided nonlinear optics in atomically layered semiconductors
Xinyi Xu, C. Trovatello, F. Mooshammer +6 more·Apr 26, 2022
Nonlinear frequency conversion provides essential tools for generating new colors and quantum states of light. Transition metal dichalcogenides possess huge nonlinear susceptibilities; further, 3R-stacked transition metal dichalcogenide crystals poss...
Hybrid controlled-sum gate with one superconducting qutrit and one cat-state qutrit and application in hybrid entangled state preparation
Qi-Ping Su, Yu Zhang, Liang Bin +1 more·Apr 25, 2022
Compared with a qubit, a qudit (i.e., d -level or d -state quantum system) provides a larger Hilbert space to store and process information. On the other hand, qudit-based hybrid quantum computing usually requires performing hybrid quantum gates with...
Electronic DC-SQUID Emulator
J. Cochran, IV C.S.Guzmán, E. Stiers +1 more·Apr 19, 2022
Pulsed readout of Direct Current (DC) Superconducting Quantum Interference Device (SQUID) is crucial for experiments which need to be performed at millikelvin temperatures, such as the readout of superconducting and electron spin based qubits. Pulsed...
A quantum generative model for multi-dimensional time series using Hamiltonian learning
H. Horowitz, Pooja S B. Rao, Santosh Kumar Radha·Apr 13, 2022
Synthetic data generation has proven to be a promising solution for addressing data availability issues in various domains. Even more challenging is the generation of synthetic time series data, where one has to preserve temporal dynamics, i.e. , the...
QuiKo: A Quantum Beat Generation Application
Scott Oshiro·Apr 9, 2022
Artificial intelligent (AI) music generation systems have been exciting developments in machine and deep learning, but are limited to the data set(s) that they are fed. As a result, these systems lack a sense of organicness, or intuition, in their re...
Entanglement, Complexity, and Causal Asymmetry in Quantum Theories
Porter Williams·Apr 1, 2022
It is often claimed that one cannot locate a notion of causation in fundamental physical theories. The reason most commonly given is that the dynamics of those theories do not support any distinction between the past and the future, and this vitiates...
Random quantum circuits are approximate unitary t-designs in depth O(nt5+o(1))
J. Haferkamp·Mar 30, 2022
The applications of random quantum circuits range from quantum computing and quantum many-body systems to the physics of black holes. Many of these applications are related to the generation of quantum pseudorandomness: Random quantum circuits are kn...