| 2023 | Design of Quantum Machine Learning Course for a Computer Science Program. | Sathish A. P. Kumar, Temitope Adeniyi, Ahmad Alomari, Santanu Ganguly |
| 2023 | Learning to Optimize Quantum Neural Networks Without Gradients. | Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro |
| 2023 | QFactor: A Domain-Specific Optimizer for Quantum Circuit Instantiation. | Alon Kukliansky, Ed Younis, Lukasz Cincio, Costin Iancu |
| 2023 | Efficient Parameterised Compilation for Hybrid Quantum Programming. | Anna M. Krol, Koen Mesman, Aritra Sarkar, Zaid Al-Ars |
| 2023 | Entropic Uncertainty for Biased Measurements. | Walter O. Krawec |
| 2023 | Distributed Coordinate Descent Algorithm for Variational Quantum Classification. | Izuho Koyasu, Rudy Raymond, Hiroshi Imai |
| 2023 | Robust Quantum Control for Set-Membership Hamiltonian Uncertainty. | Robert L. Kosut, Herschel Rabitz |
| 2023 | Random Quantum Neural Networks for Noisy Image Recognition. | Debanjan Konar, Erol Gelenbe, Soham Bhandary, Aditya Das Sarma, Attila Cangi |
| 2023 | Investigating the Characteristics of Ising Machines. | Kazuhiko Komatsu, Makoto Onoda, Masahito Kumagai, Hiroaki Kobayashi |
| 2023 | Algebraic Compression of Free Fermionic Quantum Circuits: Particle Creation, Arbitrary Lattices and Controlled Evolution. | Efekan Kkc, Daan Camps, Lindsay Bassman Oftelie, Wibe A. de Jong, Roel Van Beeumen, Alexander F. Kemper |
| 2023 | Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK. | Florian J. Kiwit, Marwa Marso, Philipp Ross, Carlos A. Riofro, Johannes Klepsch, Andr Luckow |
| 2023 | Efficient Computation of Causality in Globally Hyperbolic Spacetimes Using Link Invariants and Relevant Applications to Quantum Computing. | Anthony Kim, Jeffery A. Pitcock, Justin Zhang |
| 2023 | Implementing a Hybrid Quantum-Classical Neural Network by Utilizing a Variational Quantum Circuit for Detection of Dementia. | Ryan Kim |
| 2023 | Mixed-Integer Programming Using a Bosonic Quantum Computer. | Farhad Khosravi, Artur Scherer, Pooya Ronagh |
| 2023 | Parallelizing Quantum-Classical Workloads: Profiling the Impact of Splitting Techniques. | Tuhin Khare, Ritajit Majumdar, Rajiv Sangle, Anupama Ray, Padmanabha Venkatagiri Seshadri, Yogesh Simmhan |
| 2023 | Quantum Machine Learning with Quantum Topological Data Analysis. | Ankit Khandelwal, M. Girish Chandra |
| 2023 | Towards Fidelity-Optimal Qubit Mapping on NISQ Computers. | Sri Khandavilli, Indu Palanisamy, Manh V. Nguyen, Thinh V. Le, Tu N. Nguyen, Thang N. Dinh |
| 2023 | Quantum Distributed Algorithms for Approximate Steiner Trees and Directed Minimum Spanning Trees. | Phillip A. Kerger, David Esteban Bernal Neira, Zoe Gonzalez Izquierdo, Eleanor Gilbert Rieffel |
| 2023 | Distribution of entanglement in two-dimensional square grid network. | Eneet Kaur, Saikat Guha |
| 2023 | A Uniform Representation of Classical and Quantum Source Code for Static Code Analysis. | Maximilian Kaul, Alexander Kchler, Christian Banse |
| 2023 | Reinforcement Learning for Gate Synthesis in Noisy Quantum Systems. | Amara Katabarwa, Collin Farquhar, Hyeongrak Choi, Marc Grau Davis, Dirk R. Englund, Yudong Cao, Mekena Metcalf |
| 2023 | Trapped Ion Quantum Repeaters with Entanglement Distillation based on Quantum LDPC Codes. | Ann Kang, Saikat Guha, Narayanan Rengaswamy, Kaushik P. Seshadreesan |
| 2023 | QWalkVis: Quantum Walks Visualization Application. | Addie Jordon, Austin Hawkins-Seagram, Samantha Norrie, Jos Ossorio, Ulrike Stege |
| 2023 | Improving Signal-to-Noise Ratio (SNR) for Readout Signals Using Adaptive Filters on Reconfigurable Controls Hardware. | Hans Johnson, Silvia Zorzetti, Jafar Saniie |
| 2023 | A Study on Concentric Feature Embeddings in Variational Multiclass Classification for Small-Scale Quantum Computers. | Seokhun Jeon, Yunpyo Hong, Byung-Soo Kim |