I am Kevin J. Joven, a Ph.D. student in Electrical & Electronics Engineering. My research focuses on the design and theory of new quantum algorithms related and the development of control techniques for hybrid continuous-variable (CV) and discrete-variable (DV) architectures, exploring their potential applications in quantum information science. I am interested in applications of quantum algorithms in physical and chemical systems through symmetry-based methods, and the implementation of quantum error correction (QEC) codes for hybrid CV-DV systems.
▶ Quantum + AI:
- Agent Quantum Research (current)
▶ Quantum Algorithms and Useful Implementations:
- Quantum Phase Estimation (QPE) for Molecular Systems (Sep' 24)
- Quantum Evolution Simulation using Trotter. (May' 24)
- Linear Combination of Unitaries (LCU). (Dec' 23)
- Matrix descomposition into Pauli operators.
▶ Quantum Hackathons:
- Visualization tools for probabilities using tubes. (QHack 2023 visualization challenge second place) (Feb' 23)
- Filtering Variational Quantum Eigensolver. (ICTP-Quantinuum Hackathon first place) (Apr' 23)
▶ Posters:
- ICTP-2024 - Quantum Circuit Optimization based on mid-circuits entanglement (Jan' 24)
- Fermilab-2025 - Multi-qubit Gates for Efficient Block-encoding and Quantum Simulation (Dec 25')
▶ Quantum Personal Projects:
- Quantum Channels and the Bloch Sphere (Mar' 25)
- Quantum Adder/Subtract Circuit (May' 24)
- Random Quantum Circuits. (QOSF application - selected) (Mar' 23)
- Step-by-Step Parameter Shift-Rule and Gradient Descent using Qiskit (Jan' 23)
