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20192026
most citedTowards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines

10 citations · 54 across the 39 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

quant-ph2026

Same Spectrum, Harder First-Order Training: Phase-Locking in Single- versus Multi-Qubit Re-Uploading Circuits

Michael Poppel, David Bucher, Maximilian Zorn +5

Angle-encoded variational quantum circuits implement truncated Fourier series. For one-dimensional inputs, a single-qubit re-uploading (serial) circuit represents every function th…

quant-ph2026

Detrimental Agnostic Entanglement: The Case Against Hardware-Efficient Ansätze for Combinatorial Optimization

Tobias Rohe, Markus Baumann, Federico Harjes Ruiloba +3

Variational quantum algorithms (VQAs) for combinatorial optimization routinely employ entangling gates as a default design choice, yet the role of entanglement, in its amount and s…

quant-ph2026

Architecture Shape Governs QNN Trainability: Jacobian Null Space Growth and Parameter Efficiency

Michael Poppel, David Bucher, Maximilian Zorn +5

Variational quantum circuits with angle encoding implement truncated Fourier series, and architectures arranging qubits with encoding layers each -- sharing encoding budget…

cs.LG2026

Quantum Generator Kernels

Philipp Altmann, Maximilian Mansky, Maximilian Zorn +2

Quantum kernel methods offer significant theoretical benefits by rendering classically inseparable features separable in quantum space. Yet, the practical application of Quantum Ma…

cs.MA2026

Dynamic Incentivized Cooperation under Changing Rewards

Philipp Altmann, Thomy Phan, Maximilian Zorn +2

Peer incentivization (PI) is a popular multi-agent reinforcement learning approach where all agents can reward or penalize each other to achieve cooperation in social dilemmas. Des…