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Recently, sample-based quantum diagonalization (SQD) has emerged as one of the most promising approaches to solve the electronic structure problem on current quantum computers. This method classically diagonalizes a Hamiltonian in a subspace that is spanned by samples obtained from a quantum compute...

Our work 𝐒𝐡𝐨𝐭-𝐧𝐨𝐢𝐬𝐞 𝐫𝐞𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐥𝐚𝐭𝐭𝐢𝐜𝐞 𝐇𝐚𝐦𝐢𝐥𝐭𝐨𝐧𝐢𝐚𝐧𝐬 has just been published in 𝐏𝐑𝐗𝐐𝐮𝐚𝐧𝐭𝐮𝐦. Directly go to the paper here: https://doi.org/10.1103/xy36-drb3 By: Timo Eckstein, Refik Mansuroglu, Stefan Wolf, Ludwig Nützel, Stephan Tasler, Martin Kliesch, and Hartmann Michael In quantum comput...

Optimization is one of the areas where quantum computing is expected to change our computational capabilities in a disruptive way. Most industrially relevant combinatorial optimization problems are however too large to fit on current or foreseeable quantum processors. The new preprint, by Mathias...

Ludwig Nützel, alongside Michael J. Hartmann, Henrik Dreyer, and Etienne Granet, have released a new pre-print on the arXiv, titled “Ground State Energy via Adiabatic Evolution and Phase Measurement for a Molecular Hamiltonian on an Ion-Trap Quantum Computer”. In this work, they implement adiabatic...

On December 8th, Quantum Science and Technology published our work on Cross-talk analysis in superconducting qubit architectures: "Cross-talk in superconducting qubit lattices with tunable couplers—comparing transmon and fluxonium architectures". This work is a collaboration between Florian Lange,...