Lifeboat Foundation

A new method for preparing certain states on a quantum computer is predicted to take the same time regardless of the system size.

A new study led by Rice University’s Qimiao Si has unveiled a new class of quantum critical metal, shedding light on the intricate interactions of electrons within quantum materials. Published in Physical Review Letters on Sept. 6, the research explores the effects of Kondo coupling and chiral spin liquids within specific lattice structures.

Roadmap: Quantum algorithms and quantum machine learning could assist high-energy physics, ranging from studying neutrino oscillations to reconstructing particle trajectories in colliders.

Researchers have just found evidence of “dark electrons”—electrons you can’t see using spectroscopy—in solid materials.

The achievement marks a way toward “fault-tolerant” quantum computing as it achieved record-low error rates in prototype quantum computer. It’s also expected to lead to the development of more stable quantum computers.

IQM maintains that qubit relaxation time T1 of 0.964 +- 0.092 milliseconds and dephasing time T2 echo of 1.155 +- 0.188 milliseconds was demonstrated on a planar transmon qubit on a silicon chip fabricated in IQM´s own fabrication facilities.

The coherence times, characterized by the relaxation time T1 and the dephasing time T2 echo, are among the key metrics for assessing the performance of a single qubit, as they indicate how long quantum information can be stored in a physical qubit, according to the company.

Proposed experiments will search for signs that spacetime is quantum and can exist in a superposition of multiple shapes at once.

By Nick Huggett & Carlo Rovelli

There is a glaring gap in our knowledge of the physical world: none of our well-­established theories describe gravity’s quantum nature. Yet physicists expect that this quantum nature is essential for explaining extreme situations such as the very early universe and the deep interior of black holes. The need to understand it is called the problem of “quantum gravity.”

Scientists have just theorized how to connect quantum processors over vast distances to form a giant quantum computing network that acts as a single machine.

Researchers at the Paris Institute of Nanoscience at Sorbonne University have developed a new method to encode images into the quantum correlations of photon pairs, making it invisible to conventional imaging techniques. The study is published in the journal Physical Review Letters.

As scientists and researchers increasingly look to quantum computing to aid in complex problem-solving and advance our understanding of the universe—quantum error correction has become a critical area of scientific inquiry.