Hier finden Sie eine nicht vollständige Liste der MQV-Veröffentlichungen:
S. Adarsh et al. SyReC Synthesizer: An MQT tool for synthesis of reversible circuits. en. In: Software Impacts 14 (Dec. 2022), p. 100451. issn: 26659638.
P. Adelhardt and K. P. Schmidt. Continuously varying critical exponents in long-range quantum spin ladders. en. In: SciPost Physics 15.3 (Sept. 2023), p. 087. issn: 2542-4653.
K. Adhikari and C. Deppe. Quantum Information Spreading and Scrambling in a Distributed Quantum Network. In: European Wireless 2023. IEEE, Oct. 2023.
K. Adhikari and C. Deppe. Quantum information spreading and scrambling in a distributed quantum network: A Hasse/Lamport diagrammatic approach. arXiv:2309.10363 [cond-mat, physics:quant-ph]. Sept. 2023.
K. Adhikari et al. Krylov Complexity of Fermionic and Bosonic Gaussian States. arXiv:2309.10382 [cond-mat, physics:hep-th, physics:quant-ph]. Sept. 2023.
P. Altmann et al. SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training: in: Proceedings of the 15th International Conference on Agents and Artificial Intelligence. Lisbon, Portugal: SCITEPRESS - Science and Technology Publications, 2023, pp. 744–751. isbn: 978-989-758-623-1.
Z. Amiri, B. A. Bash, and J. Nötzel. Performance of Quantum Preprocessing under Phase Noise. In: 2022 IEEE Globecom Workshops (GC Wkshps). Dec. 2022, pp. 298–303.
M. Artner, G. Wallner, and R. Wille. Introducing QRogue: Teaching Quantum Computing Using a Rogue-like Game Concept. en. In: Proceedings of the 18th International Conference on the Foundations of Digital Games. Lisbon Portugal: ACM, Apr. 2023, pp. 1–4. isbn: 978-1-4503-9855-8.
N. Astrakhantsev et al. Time evolution of uniform sequential circuits. In: Physical Review Research 5.3 (Sept. 2023). Publisher: American Physical Society, p. 033187.
A. Bacho, H. Boche, and G. Kutyniok. Complexity Blowup for Solutions of the Laplace and the Diffusion Equation. arXiv:2212.00693 [cs, math]. Sept. 2023.
A. Bacho, H. Boche, and G. Kutyniok. Reliable AI: Does the Next Generation Require Quantum Computing? arXiv:2307.01301 [quant-ph]. July 2023.
J. Bender, P. Emonts, and J. I. Cirac. A variational Monte Carlo algorithm for lattice gauge theories with continuous gauge groups: a study of (2+1)-dimensional compact QED with dynamical fermions at finite density. arXiv:2304.05916 [cond-mat, physics:hep-lat, physics:quant-ph]. Apr. 2023.
A. Bentellis et al. Benchmarking the Variational Quantum Eigensolver using different quantum hardware. In: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 01. Sept. 2023, pp. 518–523.
L. Berent, L. Burgholzer, and R. Wille. Software Tools for Decoding Quantum Low-Density Parity-Check Codes. In: Proceedings of the 28th Asia and South Pacific Design Automation Conference. ASPDAC ’23. New York, NY, USA: Association for Computing Machinery, Jan. 2023, pp. 709–714. isbn: 978-1-4503-9783-4.
L. Berent, L. Burgholzer, and R. Wille. Towards a SAT encoding for quantum circuits: A journey from classical circuits to clifford circuits and beyond. In: 25th international conference on theory and applications of satisfiability testing (SAT 2022). Ed. by K. S. Meel and O. Strichman. Vol. 236. Leibniz international proceedings in informatics (LIPIcs). ISSN: 1868-8969 tex.urn: urn:nbn:de:0030-drops-166927. Dagstuhl, Germany: Schloss Dagstuhl – Leibniz-Zentrum fu ̈r Informatik, 2022, 18:1–18:17. isbn: 978-3-95977-242-6.
S. Birnkammer, A. Bastianello, and M. Knap. Prethermalization in one-dimensional quantum many-body systems with confinement. In: Nature Communications 13.1 (Dec. 2022). arXiv:2202.12908 [cond-mat, physics:hep-th, physics:quant-ph], p. 7663. issn: 2041-1723.
H. Boche, A. Fono, and G. Kutyniok. Limitations of Deep Learning for Inverse Problems on Digital Hardware. arXiv:2202.13490 [cs, eess]. Oct. 2022.
H. Boche, A. Fono, and G. Kutyniok. Non-Computability of the Pseudoinverse on Digital Computers. arXiv:2212.02940 [cs, math]. Dec. 2022.
L. Burgholzer and R. Wille. Exploiting Reversible Computing for Verification: Potential, Possible Paths, and Consequences. In: 2023.
L. Burgholzer, A. Ploier, and R. Wille. Exploiting Arbitrary Paths for the Simulation of Quantum Circuits with Decision Diagrams. In: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). Antwerp, Belgium: IEEE, Mar. 2022, pp. 64–67. isbn: 978-3-9819263-6-1.
L. Burgholzer, A. Ploier, and R. Wille. Simulation Paths for Quantum Circuit Simulation with Decision Diagrams. In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2022), pp. 1–1. issn: 0278-0070, 1937-4151.
L. Burgholzer, S. Schneider, and R. Wille. Limiting the Search Space in Optimal Quantum Circuit Mapping. In: 2022 27th Asia and South Pacific Design Automation Conference (ASPDAC). Taipei, Taiwan: IEEE, Jan. 2022, pp. 466–471. isbn: 978-1-66542-135-5.
L. Burgholzer and R. Wille. Advanced Equivalence Checking for Quantum Circuits. In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 40.9 (Sept. 2021), pp. 1810–1824. issn: 0278-0070, 1937-4151.
L. Burgholzer and R. Wille. Exploiting Reversible Computing for Verification: Potential, Possible Paths, and Consequences. In: Proceedings of the 28th Asia and South Pacific Design Automation Conference. ASPDAC ’23. New York, NY, USA: Association for Computing Machinery, Jan. 2023, pp. 429–435. isbn: 978-1-4503-9783-4.
L. Burgholzer and R. Wille. Handling non-unitaries in quantum circuit equivalence checking. en. In: Proceedings of the 59th ACM/IEEE Design Automation Conference. San Francisco California: ACM, July 2022, pp. 529–534. isbn: 978-1-4503-9142-9.
L. Burgholzer, R. Wille, and R. Kueng. Characteristics of reversible circuits for error detection. en. In: Array 14 (July 2022), p. 100165. issn: 25900056.
Y. Chen and Y. Stade. Artifact for Quantum Constant Propagation. In: (May 2023).
Y. Chen and Y. Stade. Quantum Constant Propagation. en. In: Static Analysis. Ed. by M. V. Hermenegildo and J. F. Morales. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023, pp. 164–189. isbn: 978-3-031-44245-2.
S. Dehdashti, J. Notzel, and P. van Loock. Quantum capacity of a deformed bosonic dephasing channel. arXiv:2211.09012 [math-ph, physics:physics, physics:quant-ph]. Nov. 2022.
J. Denzler et al. Learning fermionic correlations by evolving with random translationally invariant Hamiltonians. 2023. arXiv: 2309.12933 [quant-ph].
R. Dilip et al. Data compression for quantum machine learning. In: Physical Review Research 4.4 (Oct. 2022). Publisher: American Physical Society, p. 043007.
L. Ding, G. Du ̈nnweber, and C. Schilling. Physical Entanglement Between Localized Orbitals. arXiv:2303.14170 [cond-mat, physics:physics, physics:quant-ph]. Mar. 2023.
L. Ding et al. Quantum correlations in molecules: from quantum resourcing to chemical bonding. en. In: Quantum Science and Technology 8.1 (Dec. 2022). Publisher: IOP Publishing, p. 015015. issn: 2058-9565.
T.-A. Dragan et al. Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices: in: Proceedings of the 15th International Conference on Agents and Artificial Intelligence. Lisbon, Portugal: SCITEPRESS - Science and Technology Publications, 2023, pp. 199–210. isbn: 978-989-758-623-1.
T. Eckstein et al. Large-scale simulations of Floquet physics on near-term quantum computers. arXiv:2303.02209 [cond-mat, physics:quant-ph]. Mar. 2023.
A. Elsharkawy et al. Integration of Quantum Accelerators with High Performance Computing – A Review of Quantum Programming Tools. arXiv:2309.06167 [quant-ph]. Sept. 2023.
F. vom Ende. Quantum-Dynamical Semigroups and the Church of the Larger Hilbert Space. In: Open Systems & Information Dynamics 30.01 (Mar. 2023). Publisher: World Scientific Publishing Co., p. 2350003. issn: 1230-1612.
F. vom Ende. Which bath Hamiltonians matter for thermal operations? In: Journal of Mathematical Physics 63.11 (Nov. 2022), p. 112202. issn: 0022-2488.
F. vom Ende and G. Dirr. The d-Majorization Polytope. en. In: Linear Algebra and its Applications 649 (Sept. 2022), pp. 152–185. issn: 0024-3795.
F. vom Ende et al. Exploring the Limits of Controlled Markovian Quantum Dynamics with Thermal Resources. In: Open Systems & Information Dynamics 30.01 (Mar. 2023). Publisher: World Scientific Publishing Co., p. 2350005. issn: 1230-1612.
F. v. Ende and E. Malvetti. The Thermomajorization Polytope and Its Degeneracies. arXiv:2212.04305 [math-ph, physics:quant-ph]. Dec. 2022.
F. v. Ende et al. Exploring the Limits of Controlled Markovian Quantum Dynamics with Thermal Resources I+II. In: 25th International Symposium on Mathematical Theory of Networks and Systems. Bayreuth, 2022, pp. 1069–72, 1073–1076.
M. Fischer et al. Combining experiments on luminescent centres in hexagonal boron nitride with the polaron model and ab initio methods towards the identification of their microscopic origin. 2023. arXiv: 2209.08910 [cond-mat.mtrl-sci].
T. Gabor, M. Zorn, and C. Linnhoff-Popien. The Applicability of Reinforcement Learning for the Automatic Generation of State Preparation Circuits. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO ’22. Boston, Massachusetts: Association for Computing Machinery, 2022, pp. 2196–2204. isbn: 9781450392686.
V. Galetsky et al. Comparison of Quantum PUF models. In: 2022 IEEE Globecom Workshops (GC Wkshps). Dec. 2022, pp. 820–825.
A. Gleis, J.-W. Li, and J. von Delft. Controlled Bond Expansion for Density Matrix Renormalization Group Ground State Search at Single-Site Costs. In: Physical Review Letters 130.24 (June 2023). Publisher: American Physical Society, p. 246402.
A. Gleis, J.-W. Li, and J. von Delft. Projector formalism for kept and discarded spaces of matrix product states. In: Physical Review B 106.19 (Nov. 2022). Publisher: American Physical Society, p. 195138.
Z. Gong, T. Guaita, and J. I. Cirac. Long-Range Free Fermions: Lieb-Robinson Bound, Clustering Properties, and Topological Phases. In: Physical Review Letters 130.7 (Feb. 2023). arXiv:2210.05389 [cond-mat, physics:math-ph, physics:quant-ph], p. 070401. issn: 0031-9007, 1079-7114.
G. Gonzalez-Garc ́ıa, R. Trivedi, and J. I. Cirac. Error Propagation in NISQ Devices for Solving Classical Optimization Problems. In: PRX Quantum 3.4 (Dec. 2022). Publisher: American Physical Society, p. 040326.
J. Gröbmeyer et al. Space-charge limited and ultrafast dynamics in graphene-based nano-gaps. In: Applied Physics Letters 123.1 (July 2023), p. 013504. issn: 0003-6951. eprint: pubs.aip.org/aip/apl/article-pdf/doi/10.1063/5.0154152/18147013/ 013504\_1\_5.0154152.pdf.
T. Grurl, J. Fub, and R. Wille. Noise-aware Quantum Circuit Simulation With Decision Diagrams. In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2022), pp. 1–1. issn: 0278-0070, 1937-4151.
T. Grurl, J. Fuß, and R. Wille. Optimized Density Matrix Representations : Improving the Basis for Noise-Aware Quantum Circuit Design Tools. In: 2023 IEEE 53rd International Symposium on Multiple-Valued Logic (ISMVL). Matsue, Japan: IEEE, May 2023, pp. 141– 146. isbn: 978-1-66546-416-1.
T. Grurl et al. Automatic Implementation and Evaluation of Error-Correcting Codes for Quantum Computing: An Open-Source Framework for Quantum Error Correction. In: 2023 36th International Conference on VLSI Design and 2023 22nd International Conference on Embedded Systems (VLSID). Hyderabad, India: IEEE, Jan. 2023, pp. 301–306. isbn: 9798350346787.
X. Guo, K. Qin, and M. Schulz. HiSEP-Q: A Highly Scalable and Efficient Quantum Control Processor for Superconducting Qubits. In: arXiv preprint arXiv:2308.16776, to appear in ICCD 2023 (2023).
X. Guo and M. Schulz. A Scalable and Cross-Technology Quantum Control Processor. In: 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL). 2023, pp. 353–354.
M. Haider, Y. Yuan, and C. Jirauschek. A Quantum Model of a Dissipative-Dispersive Josephson Traveling-Wave Parametric Amplifier Including Impedance-Mismatch-Induced Reflections. In: Aug. 2023, pp. 1–4.
M. Haider, Y. Yuan, and C. Jirauschek. Nonlinear Elements in Traveling-Wave Parametric Amplifiers for Dispersive Qubit Readout. In: 2023 17th European Conference on Antennas and Propagation (EuCAP). 2023, pp. 1–5.
M. Haider et al. Quantum Models for Flux-Driven Superconducting Traveling-Wave Parametric Amplifiers with Different Nonlinear Junction Topologies. In: 2023 IEEE/MTT-S International Microwave Symposium - IMS 2023. 2023, pp. 664–667.
L. Haller et al. Quantum phase transition between symmetry enriched topological phases in tensor-network states. arXiv:2305.02432 [cond-mat, physics:quant-ph]. Sept. 2023.
D. Hangleiter and J. Eisert. Computational advantage of quantum random sampling. In: Rev. Mod. Phys. 95 (3 July 2023), p. 035001.
J. Helsen et al. General Framework for Randomized Benchmarking. In: PRX Quantum 3.2 (June 2022). Publisher: American Physical Society, p. 020357.
J. Helsen et al. Shadow estimation of gate-set properties from random sequences. en. In: Nature Communications 14.1 (Aug. 2023). Number: 1 Publisher: Nature Publishing Group, p. 5039. issn: 2041-1723.
J. Herrmann et al. Realizing quantum convolutional neural networks on a superconducting quantum processor to recognize quantum phases. en. In: Nature Communications 13.1 (July 2022). Number: 1 Publisher: Nature Publishing Group, p. 4144. issn: 2041-1723.
L. Heunisch, C. Eichler, and M. J. Hartmann. Tunable coupler to fully decouple superconducting qubits. In: (June 2023). arXiv: 2306.17007 [quant-ph].
S. Heußen et al. Strategies for a practical advantage of fault-tolerant circuit design in noisy trapped-ion quantum computers. In: Phys. Rev. A 107 (4 Apr. 2023), p. 042422.
S. Hillmich and R. Wille. Efficient Implementation of Quantum Circuit Simulation with Decision Diagrams. Springer, 2023.
S. Hillmich et al. Approximating Decision Diagrams for Quantum Circuit Simulation. en. In: ACM Transactions on Quantum Computing 3.4 (Dec. 2022), pp. 1–21. issn: 2643-6809, 2643-6817.
S. Hillmich et al. Reordering Decision Diagrams for Quantum Computing Is Harder Than You Might Think. en. In: Reversible Computation. Ed. by C. A. Mezzina and K. Podlaski. Vol. 13354. Series Title: Lecture Notes in Computer Science. Cham: Springer International Publishing, 2022, pp. 93–107. isbn: 978-3-031-09004-2 978-3-031-09005-9.
M. Hinsche et al. One T Gate Makes Distribution Learning Hard. In: Phys. Rev. Lett. 130 (24 June 2023), p. 240602.
T. O. Höhn et al. State-dependent potentials for the 1S0 and 3P0 clock states of neutral ytterbium atoms. In: Phys. Rev. A 108 (5 Nov. 2023), p. 053325.
C.-L. Hong et al. Quantum Parallelized Variational Quantum Eigensolvers for Excited States. arXiv:2306.11844 [cond-mat, physics:physics, physics:quant-ph]. June 2023.
M. HörmannandK.P.Schmidt.Projectivecluster-additivetransformationforquantum lattice models. en. In: SciPost Physics 15.3 (Sept. 2023), p. 097. issn: 2542-4653.
A. Hötger et al. Spin-defect characteristics of single sulfur vacancies in monolayer MoS2. In: 2D Mater Appl 7.30 (Apr. 2023).
H.-K. Jin, J. Knolle, and M. Knap. Fractionalized Prethermalization in a Driven Quantum Spin Liquid. In: Physical Review Letters 130.22 (June 2023). Publisher: American Physical Society, p. 226701.
H.-K. Jin et al. Kinetic Ferromagnetism and Topological Magnons of the Hole-Doped Kitaev Spin Liquid. arXiv:2309.15153 [cond-mat]. Sept. 2023.
D. T. Jonas Winklmann and M. Schulz. Realistic Neutral Atom Image Simulation. In: Proceedings of IEEE QCE 2023. 2023.
W. Kadow, F. Pollmann, and M. Knap. Isometric tensor network representations of two-dimensional thermal states. In: Physical Review B 107.20 (May 2023). Publisher: American Physical Society, p. 205106.
W. Kadow, L. Vanderstraeten, and M. Knap. Hole Spectral Function of a Chiral Spin Liquid in the Triangular Lattice Hubbard Model. In: Physical Review B 106.9 (Sept. 2022). arXiv:2202.03458 [cond-mat, physics:quant-ph], p. 094417. issn: 2469-9950, 2469-9969.
W. Kadow et al. Single-hole spectra of Kitaev spin liquids: From dynamical Nagaoka ferro-magnetism to spin-hole fractionalization. arXiv:2309.15157 [cond-mat]. Sept. 2023.
M. Kaul, A. Ku ̈chler, and C. Banse. A Uniform Representation of Classical and Quantum Source Code for Static Code Analysis. In: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 01. Sept. 2023, pp. 1013–1019.
U. E. Khodaeva, D. L. Kovrizhin, and J. Knolle. Quantum simulation of the 1D Fermi– Hubbard model as a Z2 lattice-gauge theory. arXiv:2305.04648 [cond-mat, physics:quant-ph]. May 2023.
J. Knörzer, D. Malz, and J. I. Cirac. Cross-platform verification in quantum networks. In: Physical Review A 107.6 (June 2023). Publisher: American Physical Society, p. 062424.
M. Kölleetal.DisentanglingQuantumandClassicalContributionsinHybridQuantum Machine Learning Architectures. In: arXiv preprint arXiv:2311.05559 (2023).
A. Kotil et al. Riemannian quantum circuit optimization for Hamiltonian simulation. In: arXiv:2212.07556 (2023). eprint: 2212.07556.
J. A. Koziol et al. Systematic analysis of crystalline phases in bosonic lattice models with algebraically decaying density-density interactions. en. In: SciPost Physics 14.5 (May 2023), p. 136. issn: 2542-4653.
F. Kranzl et al. Observation of Magnon Bound States in the Long-Range, Anisotropic Heisenberg Model. In: Physical Review X 13.3 (Aug. 2023). Publisher: American Physical Society, p. 031017.
M. Krenn et al. Artificial intelligence and machine learning for quantum technologies. In: Physical Review A 107.1 (Jan. 2023). Publisher: American Physical Society, p. 010101.
C. Kuhlenkamp et al. Tunable topological order of pseudo spins in semiconductor heterostructures. arXiv:2209.05506 [cond-mat, physics:quant-ph]. Sept. 2022.
S. Lang et al. Aluminum Josephson Junction Formation on 200mm Wafers Using Different Oxidation Techniques. In: ECS Transactions 111.1 (May 2023), p. 41.
J. Lee et al. Quantum Task Offloading with the OpenMP API. In: Poster Proceedings of SC23. Nov. 2023.
Y. Lee, H. Boche, and G. Kutyniok. Computability of Optimizers. arXiv:2301.06148 [cs, math]. Jan. 2023.
L. Lenke, A. Schellenberger, and K. P. Schmidt. Series expansions in closed and open quantum many-body systems with multiple quasiparticle types. In: Physical Review A 108.1 (July 2023). Publisher: American Physical Society, p. 013323.
J.-W. Li, A. Gleis, and J. von Delft. Time-dependent variational principle with controlled bond expansion for matrix product states. arXiv:2208.10972 [cond-mat, physics:quant-ph]. Aug. 2022.
J. Liebert, A. Y. Chaou, and C. Schilling. Refining and relating fundamentals of functional theory. In: The Journal of Chemical Physics 158.21 (June 2023), p. 214108. issn: 0021-9606.
J. Liebert and C. Schilling. Deriving density-matrix functionals for excited states. en. In: SciPost Physics 14.5 (May 2023), p. 120. issn: 2542-4653.
S.-H. Lin, M. P. Zaletel, and F. Pollmann. Efficient simulation of dynamics in two-dimensional quantum spin systems with isometric tensor networks. In: Physical Review B 106.24 (Dec. 2022). Publisher: American Physical Society, p. 245102.
Y.-J. Liu et al. Methods for Simulating String-Net States and Anyons on a Digital Quantum Computer. In: PRX Quantum 3.4 (Nov. 2022). Publisher: American Physical Society, p. 040315.
Y.-J. Liu et al. Model-Independent Learning of Quantum Phases of Matter with Quantum Convolutional Neural Networks. In: Physical Review Letters 130.22 (June 2023). Publisher: American Physical Society, p. 220603.
E. Malvetti et al. Analytic, Differentiable and Measurable Diagonalizations in Symmetric Lie Algebras. arXiv:2212.00713 [math]. June 2023.
E. Malvetti et al. Reachability, Coolability, and Stabilizability of Open Markovian Quantum Systems with Fast Unitary Control. arXiv:2308.00561 [quant-ph]. Aug. 2023.
D. Malz and J. I. Cirac. Few-Body Analog Quantum Simulation with Rydberg-Dressed Atoms in Optical Lattices. In: PRX Quantum 4.2 (Apr. 2023). Publisher: American Physical Society, p. 020301.
D. Malz et al. Preparation of matrix product states with log-depth quantum circuits. arXiv:2307.01696 [cond-mat, physics:quant-ph]. July 2023.
R. Mansuroglu, F. Fischer, and M. J. Hartmann. Problem specific classical optimization of Hamiltonian simulation. In: Physical Review Research 5.4 (Oct. 2023). arXiv:2306.07208 [quant-ph], p. 043035. issn: 2643-1564.
R. Mansuroglu et al. Variational Hamiltonian simulation for translational invariant systems via classical pre-processing. In: Quantum Science and Technology 8.2 (Jan. 2023), p. 025006.
K. Mato, S. Hillmich, and R. Wille. Compression of Qubit Circuits: Mapping to Mixed-Dimensional Quantum Systems. In: 2023 IEEE International Conference on Quantum Software (QSW). Chicago, IL, USA: IEEE, July 2023, pp. 155–161. isbn: 9798350304794.
K. Mato, S. Hillmich, and R. Wille. Mixed-Dimensional Quantum Circuit Simulation with Decision Diagrams. In: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 01. Sept. 2023, pp. 978–989.
K. Mato et al. Adaptive Compilation of Multi-Level Quantum Operations. In: 2022 IEEE International Conference on Quantum Computing and Engineering (QCE). arXiv:2206.03842 [quant-ph]. Sept. 2022, pp. 484–491.
K. Mato et al. Compilation of Entangling Gates for High-Dimensional Quantum Systems. In: Proceedings of the 28th Asia and South Pacific Design Automation Conference. ASPDAC ’23. New York, NY, USA: Association for Computing Machinery, Jan. 2023, pp. 202–208. isbn: 978-1-4503-9783-4.
B. Mete, M. Schulz, and M. Ruefenacht. Predicting the Optimizability for Workflow Decisions. In: 2022 IEEE/ACM Third International Workshop on Quantum Computing Software (QCS). Dallas, TX, USA: IEEE, Nov. 2022, pp. 68–74. isbn: 978-1-66547-536-5.
J. J. Meyer et al. Exploiting Symmetry in Variational Quantum Machine Learning. In: PRX Quantum 4 (1 Mar. 2023), p. 010328.
N. Meyer et al. Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning. arXiv:2304.13571 [quant-ph]. Aug. 2023.
N. Meyer et al. Quantum Policy Gradient Algorithm with Optimized Action Decoding. arXiv:2212.06663 [quant-ph]. May 2023.
A. Micevic et al. On-demand generation of optically active defects in monolayer WS2 by a focused helium ion beam. In: Applied Physics Letters 121.18 (Nov. 2022), p. 183101. issn: 0003-6951.
R. M. Milbradt et al. Ternary Unitary Quantum Lattice Models and Circuits in 2 + 1 Dimensions. In: Phys. Rev. Lett. 130 (9 Mar. 2023), p. 090601.
N. Mohseni et al. Deep learning of many-body observables and quantum information scrambling. arXiv:2302.04621 [quant-ph]. Feb. 2023.
R. Morral-Yepes, F. Pollmann, and I. Lovas. Detecting and stabilizing measurement-induced symmetry-protected topological phases in generalized cluster models. arXiv:2302.14551 [cond-mat, physics:quant-ph]. Feb. 2023.
R. Morral-Yepes et al. Entanglement Transitions in Unitary Circuit Games. arXiv:2304.12965 [cond-mat, physics:quant-ph]. Apr. 2023.
M. Mu ̈hlhauser and K. P. Schmidt. Linked cluster expansions via hypergraph decompositions. In: Physical Review E 105.6 (June 2022). Publisher: American Physical Society, p. 064110.
M. Na ̈gele and F. Marquardt. Optimizing ZX-Diagrams with Deep Reinforcement Learning. In: (Nov. 2023). arXiv:2311.18588 [quant-ph].
K. Nisi et al. Defect-Engineered Magnetic Field Dependent Optoelectronics of Vanadium Doped Tungsten Diselenide Monolayers. In: Advanced Optical Materials 10 (June 2022).
J. Nötzel and M. Rosati. Operating Fiber Networks in the Quantum Limit. In: Journal of Lightwave Technology (2023). Conference Name: Journal of Lightwave Technology, pp. 1–11. issn: 1558-2213.
J. Old and M. Rispler. Generalized Belief Propagation Algorithms for Decoding of Surface Codes. In: Quantum 7 (June 2023), p. 1037. issn: 2521-327X.
M. Oliv et al. Evaluating the impact of noise on the performance of the Variational Quantum Eigensolver. In: (2022).
J. Olle et al. Simultaneous Discovery of Quantum Error Correction Codes and Encoders with a Noise-Aware Reinforcement Learning Agent. arXiv:2311.04750 [quant-ph]. Nov. 2023.
E. Onorati, T. Kohler, and T. S. Cubitt. Fitting time-dependent Markovian dynamics to noisy quantum channels. arXiv:2303.08936 [quant-ph]. Mar. 2023.
E. Onorati et al. Efficient learning of ground & thermal states within phases of matter. arXiv:2301.12946 [math-ph, physics:quant-ph]. May 2023.
T. Peham, L. Burgholzer, and R. Wille. On Optimal Subarchitectures for Quantum Circuit Mapping. In: (2023).
T. Peham et al. Depth-Optimal Synthesis of Clifford Circuits with SAT Solvers. In: Proceedings of IEEE QCE 2023. 2023.
T. Peham, L. Burgholzer, and R. Wille. Equivalence Checking of Parameterized Quantum Circuits: Verifying the Compilation of Variational Quantum Algorithms. In: Proceedings of the 28th Asia and South Pacific Design Automation Conference. ASPDAC ’23. New York, NY, USA: Association for Computing Machinery, Jan. 2023, pp. 702–708. isbn: 978-1-4503-9783-4.
T. Peham, L. Burgholzer, and R. Wille. Equivalence Checking of Quantum Circuits with the ZX-Calculus. In: IEEE Journal on Emerging and Selected Topics in Circuits and Systems 12.3 (Sept. 2022). arXiv:2208.12820 [quant-ph], pp. 662–675. issn: 2156-3357, 2156-3365.
T. Peham, L. Burgholzer, and R. Wille. Equivalence checking paradigms in quantum circuit design: a case study. en. In: Proceedings of the 59th ACM/IEEE Design Automation Conference. San Francisco California: ACM, July 2022, pp. 517–522. isbn: 978-1-4503-9142-9.
T. Peham, L. Burgholzer, and R. Wille. On Optimal Subarchitectures for Quantum Circuit Mapping. en. In: ACM Transactions on Quantum Computing 4.4 (Dec. 2023), pp. 1–20. issn: 2643-6809, 2643-6817.
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