collaborators

15 papers

quant-ph2026

Scalable Circuit Cutting: A Framework for Combined Gate and Wire Cuts Using Gate Groups

Fiona Jiali Fröhler, Yannick Stade, Christian Ufrecht +2

Quantum circuit cutting enables the execution of large circuits on devices with a limited number of qubits by partitioning circuits into independent subcircuits. However, this intr…

quant-ph2026

Optimized Compilation of Logical Clifford Circuits

Alexander Popov, Nico Meyer, Daniel D. Scherer +1

Fault-tolerant quantum computing hinges on efficient logical compilation, in particular, translating high-level circuits into code-compatible implementations. Gate-by-gate compilat…

quant-ph2026

Learning Logical Operations for Arbitrary Quantum Error Correction Codes

Nico Meyer, Christopher Mutschler, Dominik Seuß +2

Logical operations are essential for quantum computation within quantum error-correcting codes. However, discovering their physical realizations is challenging, especially for non-…

quant-ph2026

A Transferable Machine Learning Approach to Predict Optimized Orbitals for Electronic Structure Problems

Lucas van der Horst, Maniraman Periyasamy, Abhishek Y. Dubey +3

Variational quantum eigensolver ansätze hold considerable promise for ground-state energy calculations on near-term quantum hardware, yet most promising ansatz designs currently s…

quant-ph2026

Learning to Concatenate Quantum Codes

Nico Meyer, Christopher Mutschler, Dominik Seuß +2

Concatenating quantum error correction codes scales error correction capability by driving logical error rates down double-exponentially across levels. However, the noise structure…

quant-ph2026

Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction

Nico Meyer, Christopher Mutschler, Andreas Maier +1

Quantum error correction is crucial for protecting quantum information against decoherence. Traditional codes like the surface code require substantial overhead, making them imprac…