qubits

From the Polsky Center, July 26, 2022: Fermilab’s quantum ASIC group leader Shaorui Li founded Lismikro, a new start-up dedicated to developing innovative low-power microchip controllers to solve the hardware bottleneck and unleash the full potential of quantum computers. Lismikro was awarded a $200,000 co-investment from the Polsky Center’s George Shultz Innovation Fund and is capable of scaling the control electronics beyond today’s 100 qubits for superconducting, ion trap, and photonic quantum processors.

From Quantum Computing Report, April 30, 2022: A Fermilab quantum engineering team has collaborated with the University of Chicago to create a new open-source design for control electronics for superconducting quantum processors called the Quantum Instrumentation Control Kit.

Scientists at the Fermilab-led SQMS Center investigate qubits at the atomic level to identify sources of various impurities. By having a deeper understanding of how impurities affect how long a qubit can store information, scientists will be able to figure out how to further improve the performance of quantum computers.

As we step into the quantum age, here are four things to know about quantum networks.

Scientists are exploring a variety of ways to make quantum bits. We may not need to settle on a single one.

Quantum computers go beyond the binary.

Scientists at the Fermilab-led Superconducting Quantum Materials and Systems Center have discovered that nanohydrides, variants of an imperfection found in advanced superconducting materials for particle accelerators, also affect industrially produced superconducting qubits.

From Pioneering Minds, April 20, 2021: Qubits will help advance the search for dark matter, as co-authored in a paper by Fermilab’s Aaron Chou.

Quantum bits acting as particle detectors offer a fast and highly reliable means of solving one of the great mysteries in physics: the nature of dark matter. This new method promises a more efficient way to detect dark matter candidates by improving the experimental signal-to-noise ratio.

To fully realize the potential of quantum computing, scientists must start with the basics: developing step-by-step procedures, or algorithms, for quantum computers to perform simple tasks. A Fermilab scientist has done just that, announcing two new algorithms that build upon existing work in the field to further diversify the types of problems quantum computers can solve.