4 citations · 4 across the 1 of their papers we have counts for
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Learnability of the output distributions of local quantum circuits
Marcel Hinsche, Marios Ioannou, Alexander Nietner +6
There is currently a large interest in understanding the potential advantages quantum devices can offer for probabilistic modelling. In this work we investigate, within two differe…
On the Quantum versus Classical Learnability of Discrete Distributions
Ryan Sweke, Jean-Pierre Seifert, Dominik Hangleiter +1
Here we study the comparative power of classical and quantum learners for generative modelling within the Probably Approximately Correct (PAC) framework. More specifically we consi…
Pinned QMA: The power of fixing a few qubits in proofs
Daniel Nagaj, Dominik Hangleiter, Jens Eisert +1
What could happen if we pinned a single qubit of a system and fixed it in a particular state? First, we show that this can greatly increase the complexity of static questions -- gr…
Quantum certification and benchmarking
J. Eisert, D. Hangleiter, N. Walk +5
Concomitant with the rapid development of quantum technologies, challenging demands arise concerning the certification and characterization of devices. The promises of the field ca…
Closing gaps of a quantum advantage with short-time Hamiltonian dynamics
Jonas Haferkamp, Dominik Hangleiter, Adam Bouland +3
Demonstrating a quantum computational speedup is a crucial milestone for near-term quantum technology. Recently, quantum simulation architectures have been proposed that have the p…
Easing the Monte Carlo sign problem
Dominik Hangleiter, Ingo Roth, Daniel Nagaj +1
Quantum Monte Carlo (QMC) methods are the gold standard for studying equilibrium properties of quantum many-body systems -- their phase transitions, ground and thermal state proper…