Related topics: quantum computing

Exploring parameter shift for quantum Fisher information

In a recent publication in EPJ Quantum Technology, Le Bin Ho from Tohoku University's Frontier Institute for Interdisciplinary Sciences has developed a technique called time-dependent stochastic parameter shift in the realm ...

Optimizing continuous-variable functions with quantum annealing

Quantum annealing (QA) is a cutting-edge algorithm that leverages the unique properties of quantum computing to tackle complex combinatorial optimization problems (a class of mathematical problems dealing with discrete-variable ...

Machine learning contributes to better quantum error correction

Researchers from the RIKEN Center for Quantum Computing have used machine learning to perform error correction for quantum computers—a crucial step for making these devices practical—using an autonomous correction system ...

Researchers use quantum circuit to identify single nucleotides

DNA sequencing technology, i.e., determining the order of nucleotide bases in a DNA molecule, is central to personalized medicine and disease diagnostics, yet even the fastest technologies require hours, or days, to read ...

How to overcome noise in quantum computations

Researchers Ludovico Lami (QuSoft, University of Amsterdam) and Mark M. Wilde (Cornell) have made significant progress in quantum computing by deriving a formula that predicts the effects of environmental noise. This is crucial ...

MBE-CQEC: A new scheme to correct quantum errors

Quantum computers hold enormous promise in our big data world. If researchers can harness their potential, these devices could perform massively complex computations at lightning speed.

Quantum annealing can beat classical computing in limited cases

Recent research proves that under certain conditions, quantum annealing computers can run algorithms—including the well-known Shor's algorithm—more quickly than classical computers. In most cases, however, quantum annealing ...

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