Predicting the behavior of many interacting quantum particles is a complicated process but is key to harness quantum computing for real-world applications. Researchers have developed a method for ...
The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...
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Luna v1.0 & FlexQAOA bring constraint-aware quantum optimization to real-world problems
Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, performance, and real-world applicability by introducing FlexQAOA, a hybrid ...
A team of researchers at the University of Waterloo have made a breakthrough in quantum computing that elegantly bypasses the fundamental "no cloning" problem. The research, "Encrypted Qubits can be ...
Two weeks ago, D-Wave System announced a scientific breakthrough using their quantum annealing computers systems. They published in the esteemed journal @ScienceMagazine. Their newest annealing ...
We have analog quantum computers that can be used to solve very specific problems, and several different approaches to general purpose quantum computers, including those with semiconducting qubits, ...
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Quantum’s next step: Making it reliable
During SAS Innovate 2026 in Dallas, principal quantum systems architect Bill Wisotsky tells ARTHUR GOLDSTUCK what will take ...
After 30 months of fast-paced innovation in quantum algorithms, six research groups are hoping to hit paydirt. But there can be only one big winner—if there is a winner at all. I’m standing in front ...
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