Quantum Technology Initiative Journal Club

Europe/Zurich
513/R-070 - Openlab Space (CERN)

513/R-070 - Openlab Space

CERN

15
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Michele Grossi (CERN)
Description

Weekly Journal Club meetings organised in the framework of the CERN Quantum Technology Initiative (QTI) to present and discuss scientific papers in the field of quantum science and technology. The goal is to help researchers keep track of current findings and walk away with ideas for their own research. Some previous knowledge of quantum physics would be helpful, but is not required to follow the talks.

To propose a paper for discussion, contact: michele.grossi@cern.ch

Zoom Meeting ID
63779300431
Host
Michele Grossi
Alternative host
Matteo Robbiati
Passcode
55361000
Useful links
Join via phone
Zoom URL
    • 16:00 17:00
      CERN QTI Journal CLUB
      Convener: Dr Michele Grossi (CERN)
      • 16:00
        Leon Rullkotter (Fraunhofer IAO,) 40m

        TITLE: Resource-efficient Variational Block-Encoding

        Link: https://arxiv.org/pdf/2507.17658

        Abstract: Block-encoding operators are one of the essential components in quantum algorithms based on Quantum Signal Processing. Their gate complexity largely determines the overall gate complexity of the full algorithm. Using variational methods, we aim to compile block-encoding unitaries with near-optimal resource requirements for a large range of input matrices. We find that the number of variational parameters in the parameterized quantum circuit approaches the number of free parameters in the input matrices, depending on whether they are real, complex and/or hermitian.
        Additionally, symmetries present in the input matrix can be incorporated into the ansatz circuit, reducing the parameter count further and making optimization possible for up to n = 8 qubits.
        While determining variational block-encodings ceases to be computationally feasible for large system sizes, the constructed operators can be used as components of larger block-encodings via a linear combination of block-encodings.

        Speaker: Leon Rullkötter