The race to develop quantum computers has really heated up over the past few years. State-of-the-art systems can now run simple algorithms using dozens of qubits—or quantum bits—which are the building blocks of quantum computers.
Category: quantum physics – Page 403
What can my homemade quantum computer do?
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An advanced computational tool for understanding quantum materials
Researchers at the University of Chicago’s Pritzker School of Molecular Engineering (PME), Argonne National Laboratory, and the University of Modena and Reggio Emilia have developed a new computational tool to describe how the atoms within quantum materials behave when they absorb and emit light.
The tool will be released as part of the open-source software package WEST, developed within the Midwest Integrated Center for Computational Materials (MICCoM) by a team led by Prof. Marco Govoni, and it helps scientists better understand and engineer new materials for quantum technologies.
“What we’ve done is broaden the ability of scientists to study these materials for quantum technologies,” said Giulia Galli, Liew Family Professor of Molecular Engineering and senior author of the paper, published in Journal of Chemical Theory and Computation. “We can now study systems and properties that were really not accessible, on a large scale, in the past.”
IBM debuts next-gen quantum processor and IBM quantum system two, extends roadmap to advance quantum utility
At the annual IBM Quantum Summit in New York, IBM debuted IBM Quantum Heron, the first in a new series of utility-scale quantum processors with an architecture engineered over the past four years to deliver IBM’s highest performance metrics and lowest error rates of any IBM Quantum processor to date.
IBM also unveiled IBM Quantum System Two, the company’s first modular quantum computer and cornerstone of IBM’s quantum-centric supercomputing architecture. The first IBM Quantum System Two, located in Yorktown Heights, New York, has begun operations with three IBM Heron processors and supporting control electronics.
With this critical foundation now in place, along with other breakthroughs in quantum hardware, theory, and software, the company is extending its IBM Quantum Development Roadmap to 2033 with new targets to significantly advance the quality of gate operations. Doing so would increase the size of quantum circuits able to be run and help to realize the full potential of quantum computing at scale.
Utility-Scale Quantum Program Advances Toward Prototyping
DARPA’s Underexplored Systems for Utility-Scale Quantum Computing (US2QC) program seeks to determine whether an underexplored approach to quantum computing can achieve utility-scale operation — meaning its computational value exceeds its cost — faster than conventional predictions.
In the initial phase, each company presented a design concept describing their plans to create a utility-scale quantum computer. In the follow-on phase, selected performers aim to take their concepts to the next level. Now, US2QC’s key goal centers on developing and defending a system design for a fault-tolerant prototype, a smaller-scale quantum computer demonstrating that a utility-scale quantum computer can be constructed as designed and operated as intended.
This prototype system design will identify all required components and sub-systems and establish their minimum performance requirements. A DARPA-led government test and evaluation team consisting of technical experts will evaluate design viability.
Researchers create first programmable, logical quantum processor
Harvard researchers have realized a key milestone in the quest for stable, scalable quantum computing, an ultra-high-speed technology that will enable game-changing advances in a variety of fields, including medicine, science, and finance.
The team, led by Mikhail Lukin, the Joshua and Beth Friedman University Professor in physics and co-director of the Harvard Quantum Initiative, has created the first programmable, logical quantum processor, capable of encoding up to 48 logical qubits, and executing hundreds of logical gate operations, a vast improvement over prior efforts.
Published in Nature, the work was performed in collaboration with Markus Greiner, the George Vasmer Leverett Professor of Physics; colleagues from MIT; and QuEra Computing, a Boston company founded on technology from Harvard labs.