Quantum 6, 637 (2022). https://doi.org/10.22331/q-2022-02-02-637 A highly anticipated use of quantum computers is the simulation of complex quantum systems including molecules and other many-body systems. One promising method involves directly applying a linear combination of […]
Quantum 6, 636 (2022). https://doi.org/10.22331/q-2022-01-31-636 Quantum Darwinism posits that the emergence of a classical reality relies on the spreading of classical information from a quantum system to many parts of its environment. But what are […]
Quantum computers could cause unprecedented disruption in both good and bad ways, from cracking the encryption that secures our data to solving some of chemistry’s most intractable puzzles. New research has given us more clarity […]
Quantum 6, 635 (2022). https://doi.org/10.22331/q-2022-01-27-635 The quantum approximate optimization algorithm (QAOA) is a near-term hybrid algorithm intended to solve combinatorial optimization problems, such as MaxCut. QAOA can be made to mimic an adiabatic schedule, and […]
Quantum 6, 634 (2022). https://doi.org/10.22331/q-2022-01-27-634 Parallel operations in conventional computing have proven to be an essential tool for efficient and practical computation, and the story is not different for quantum computing. Indeed, there exists a […]
Meta is building a new supercomputer to train enormous machine learning algorithms. Though only partially complete, the AI Research Supercluster (RSC) already ranks among the most powerful machines on the planet. When it’s finished, the […]
Quantum 6, 633 (2022). https://doi.org/10.22331/q-2022-01-26-633 Reinforcement learning with neural networks (RLNN) has recently demonstrated great promise for many problems, including some problems in quantum information theory. In this work, we apply RLNN to quantum hypothesis […]
Quantum 6, 632 (2022). https://doi.org/10.22331/q-2022-01-24-632 Quantum error correction procedures have the potential to enable faithful operation of large-scale quantum computers. They protect information from environmental decoherence by storing it in logical qubits, built from ensembles […]
Quantum 6, 631 (2022). https://doi.org/10.22331/q-2022-01-24-631 Quantum circuits that are classically simulatable tell us when quantum computation becomes less powerful than or equivalent to classical computation. Such classically simulatable circuits are of importance because they illustrate […]
Quantum 6, 630 (2022). https://doi.org/10.22331/q-2022-01-24-630 The study of the impact of noise on quantum circuits is especially relevant to guide the progress of Noisy Intermediate-Scale Quantum (NISQ) computing. In this paper, we address the pulse-level […]
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