Harness quantum noise to unlock quantum computing

Keren Li

José D. Guimarães, James Lim, Mikhail I. Vasilevskiy +2 more

Quantum systems are inherently open and susceptible to environmental noise, which can have both detrimental and beneficial effects on their dynamics.This phenomenon has been observed in biomolecular systems, where noise enables novel functionalities, making the simulation of their dynamics a crucial target for digital and analog quantum simulation.Nevertheless, the computational capabilities of current quantum devices are often limited due to their inherent noise.In this work, we present a novel approach that capitalizes on the intrinsic noise of quantum devices to reduce the computational resources required for simulating open quantum systems.Our approach combines quantum noise characterization methods with quantum error mitigation techniques, enabling us to manipulate and control the intrinsic noise in a quantum circuit.Specifically, we selectively enhance or reduce decoherence rates in the quantum circuit to achieve the desired simulation of open-system dynamics.We provide a detailed description of our methods and report on the results of noise characterization and quantum error mitigation experiments conducted on both real and emulated IBM Quantum computers.Additionally, we estimate the experimental resource requirements for our techniques.Our approach holds the potential to unlock new simulation techniques in noisy intermediate-scale quantum devices, harnessing their intrinsic noise to enhance quantum computations.

Jincheng Zhang

This paper presents a novel quantum computing framework predicated on the unique properties of quantum entanglement. We introduce a 'Dual Weight Measurement' mechanism, a departure from traditional quantum algorithms, designed to leverage entanglement for computation, aiming to achieve non-locality and potentially surpass classical computational limits. This framework explores the potential of harnessing entanglement to unlock new computational capabilities. The paper details the theoretical foundations, implementation challenges, and preliminary experimental demonstrations of this approach, highlighting its distinct advantages and potential impact on the future of quantum computing.

Jeff Kabachinski

Camilla Vitoria Bueno da Rocha, Ana Luiza Diniz Santos, Matheus A. Souza

The rapid development of Quantum Computing (QC) as a promising computing paradigm has garnered significant attention for its ability to harness quantum mechanical properties for computation. With classical computing facing limitations outlined by Moore’s Law, QC emerges as a potential alternative for tackling complex computational problems. Yet, to unlock its full potential, robust and optimized compilers are pivotal, especially in addressing challenges posed by circuits with numerous qubits. In this systematic literature review, we analyze 18 articles to identify proposed optimizations for quantum compilers, exploring their applications, performance impacts, and emerging trends. Our primary goal is to offer valuable insights into the recent advancements and challenges in QC compiler optimizations. This will be achieved through the clustering of optimization groups, ultimately facilitating further progress in the development of highly optimized quantum algorithms and circuits.