Quantum Networking Workshop: Modeling, Applications, Design

Location: LGRC room A104 (Makerspace classroom)

Time: June 2nd and June 3rd

A two-day workshop on the many layers of the quantum networking technology stack, chiefly aiming to shape the next year of collaboration between UMass, Yale, Argonne National Laboratory, and colleagues within the Center for Quantum Networks.

This will also be the first gathering of external advisors for the QuantumSavory modeling toolkit.

Below is the detailed workshop schedule. Click to expand each day:

🗓️ Monday, June 2nd

Time	Event	Speaker	Affiliation
10:00–10:10	Workshop Kickoff	Stefan Krastanov	UMass
10:10–11:00	Quantum Network Utility Maximization	Leonardo Bacciottini	UMass
11:00–11:50	Throughput region of a quantum switch: comparative analysis under different regimes	Panagiotis Promponas	Yale
11:50–12:40	Learning the best links and paths in quantum networks	Xuchuang Wang	UMass
12:40–1:40	Lunch
1:40–2:30	A brief introduction to SeQUeNCe	Caitao Zhan	Argonne
2:30–3:20	Modeling with QuantumSavory	Stefan Krastanov	UMass
3:20–3:30	Break
3:30–4:20	No Title available	Robert Niffenegger	UMass
4:20–5:10	From GHZ to Graph states: A Group-Based Approach to Entanglement Preservation	Mingyuan Wang	UMass
5:10–6:00	Group chat rooms

📜 Bio – Leonardo Bacciottini (Quantum Network Utility Maximization)

Leonardo Bacciottini is a postdoctoral researcher at the University of Massachusetts Amherst, working with Prof. Stefan Krastanov, Prof. Don Towsley, and Prof. Gayane Vardoyan. He holds a PhD degree in Computer Science from the University of Florence and University of Pisa. His research interests span across quantum network architectures, protocols, and simulation.

📜 Bio – Panagiotis Promponas (Throughput region of a quantum switch)

Panagiotis (Panos) is a fifth year PhD student at Yale University working on modeling and optimization of entanglement distribution networks. His research focuses on developing efficient protocols and architectures for quantum communication systems, with an emphasis on scalability and real-world feasibility.

📜 Bio – Xuchuang Wang (Learning the best links and paths in quantum networks)

Xuchuang Wang is a postdoctoral researcher in the College of Information and Computer Sciences at the University of Massachusetts Amherst, where he collaborates closely with Professors Don Towsley and Mohammad Hajiesmaili on cutting‑edge projects in quantum networks and multi-agent learning systems.

📜 Bio – Caitao Zhan (A brief introduction to SeQUeNCe)

Caitao Zhan is a postdoc at Argonne National Laboratory, working with Rajkumar Kettimuthu. At Argonne, he works on the quantum network simulator SeQUeNCe and various topics in quantum networks. He completed his PhD in the Department of Computer Science at Stony Brook University, where he was advised by Professor Himanshu Gupta. During his PhD, he first worked on wireless networks, and later on switched to quantum networks.

📜 Bio – Mingyuan Wang (From GHZ to Graph states: A Group-Based Approach to Entanglement Preservation)

Mingyuan Wang is a PhD student working with Prof. Stefan Krastanov. His research focuses on entanglement distillation and quantum error correction.

🗓️ Tuesday, June 3rd

Time	Event	Speaker	Affiliation
8:30–9:20	Graph partition algorithms for reducing long-range bell pair costs in generating distributed algorithmic graph states	Anthony Micciche	UMass
9:20–10:00	A quantum speedup for localizing transmission loss change in optical networks	Yufei Zheng	UMass
10:00–10:40	Error Correction and Job Management in Quantum Servers	Aparimit Chandra	UMass
10:40–10:50	Break
10:50–11:40	Hybrid repeaters with encoding for long distance entanglement distribution	Stav Haldar	UMass
11:40–12:20	Compiler for distributed quantum computing: a reinforcement learning approach	Panagiotis Promponas	Yale
12:20–1:30	Lunch
1:30–2:20	Piecewise resource-efficient entanglement distribution using a quantum switch	Kenneth Goodenough	UMass
2:20–3:20	All-photonic quantum networks with GKP qubits	Ankit Kumar Jha and Ryosuke Shiina	UMass
3:20–4:10	Group chat rooms
4:10–4:30	Project presentations

📜 Bio – Anthony Micciche (Graph partition algorithms for reducing long-range bell pair costs in generating distributed algorithmic graph states)

Anthony Micciche is a Computer Science Ph.D. student at UMass Amherst advised by Prof. Stefan Krastanov. His primary research interest lies generally in the details of fully realizing fault tolerant quantum computers. More concretely, he investigates the compilation and resource optimization of various error correction schemes tailored to specific hardware. Accordingly, his work often includes topics related to quantum error correction, fault tolerance, theoretical computer science, and simulation of quantum systems. He recently has become increasingly interested in the compilation and resource optimization of distributed quantum systems.

📜 Bio – Yufei Zheng (A quantum speedup for localizing transmission loss change in optical networks)

Yufei Zheng is a postdoc at UMass Amherst, working with Don Towsley. She completed her PhD in the Department of Computer Science at Princeton University, where she was advised by Jennifer Rexford. Prior to that, she spent some time in Technion working on enumerative combinatorics. Her recent research has focused on quantum-augmented networks, and she is broadly interested in finding quantum speedups wherever they may arise.

📜 Bio – Aparimit Chandra (Error Correction and Job Management in Quantum Servers)

Aparimit (Ansh) Chandra is a Ph.D. candidate in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst, advised by Prof. Don Towsley. His research centers on performance modeling of quantum networking systems using queuing theory and statistical methods, with a focus on teleportation scheduling, quantum error correction, and measurement-based quantum computing. He has presented at IEEE conferences and interned as a quantum architecture researcher at PsiQuantum. Broader interests include quantum complexity theory and graph theory.

📜 Bio – Stav Haldar (Hybrid repeaters with encoding for long distance entanglement distribution)

Stav is a postdoc supervised by Dr. Filip Rozpedek. He is interested in problems related to the design and optimization of quantum networks. He did his Ph.D. in the Department of Physics and Astronomy at Louisiana State University.

📜 Bio – Panagiotis Promponas (Compiler for distributed quantum computing)

📜 Bio – Kenneth Goodenough (Piecewise resource-efficient entanglement distribution using a quantum switch)

Kenneth Goodenough is a postdoctoral researcher in quantum communication theory, currently working with Don Towsley, at the University of Massachusetts, Amherst. During his PhD with David Elkouss at QuTech, he has worked on near-term repeater schemes, distillation and error correction. His main interests currently are in the mathematical structures behind noisy quantum systems, to aid with understanding what can be done with near-term quantum devices.

📜 Bio – Ankit Kumar Jha (All-photonic quantum networks with GKP qubits)

Ankit is a PhD student in the CICS at UMass Amherst. He is working under Filip Rozpędek on Concatenated Bosonic Error Correcting Codes to design efficient quantum repeaters. Ankit holds a bachelor's and master's degree in physics from the Indian Institute of Technology Kharagpur along with a minor in mathematics and computing.

📜 Bio – Ryosuke Shiina (All-photonic quantum networks with GKP qubits)

Ryosuke Shiina is a PhD candidate through the Department of Physics at the University of Massachusetts, Amherst. He has been researching under his advisor, Prof. Filip Rozpedek, and has been a graduate student researcher with the Center for Quantum Networks. He is a quantum network architect, and his main area of research is theory relating to quantum network schemes, error correction codes such as GKP-code and Cat code, and graph theory.