Academia-Industry Matching Event (AIME26)

Session

Quantum Computing and Technology

13 Nov 2026, 09:00

HUN-REN Headquarters

75. Classically trainable quantum generative modeling

Bence Bakó (Wigner RCP)

13/11/2026, 09:00

Sampling-based quantum advantage schemes currently serve as the leading experimental demonstrations of computational tasks deemed intractable for classical devices. However, their practical significance remains a subject of intense debate as these tasks are synthetically designed to maximize classical hardness rather than to solve meaningful real-world problems. In this contribution, based, we...

59. Bridging Classical and Quantum Computing via Advanced Tensor Network Simulations on High-Performance Computing Infrastructures

Örs Legeza (Wigner FK)

13/11/2026, 09:25

light of emergent evolution in quantum technology, key industrial players allocate significant parts of their budget and resources to identify a real-world problem where quantum advantage, i.e. exponential increase in computational capacity, is expected to appear. The tense competition between quantum computing and simulations on classical hardware over the past decades has been further...

77. TBA

János Lazányi (Quantum Machines Hungary)

13/11/2026, 10:05

71. Faulhorn Labs: a deep tech startup studio

Győző Egri (Faulhorn Zrt)

13/11/2026, 11:30

In this talk, I explain how Faulhorn operates, what our goals are, and how we connect with industry, academia, and research institutes. I will highlight our past projects and spin-off companies, and detail our current work on the Csip, ZKP, MC2P and Qutility projects. Finally, I discuss how AI impacts us, how we are adopting it, and how we aim to create practical value in this new era.

80. The Qubits of Tomorrow

Gyorgy Feher (Faulhorn Zrt)

13/11/2026, 11:55

Point defects are localized irregularities in crystals that break the lattice symmetry of the hosting material. They can potentially be used in quantum technology as a room temperature qubit. Nitrogen-vacancy center (NV center) is the most studied point defect, where in the hosting diamond crystal two adjacent carbon atoms are switched to a nitrogen atom and a vacancy (empty spot).
The...

64. QCanvas and QCR: Open Platforms for Teaching, Sharing, and Reproducing Quantum Circuits

Szabolcs Joczik (QCR MTÜ)

13/11/2026, 12:20

Lecture

As quantum computing research and teaching continue to grow, so does the material behind each result and each lesson. Reproducing a published implementation depends on having its code, the tools it was built with, and the paper that explains it together, and a single lesson often draws on several tools, from PDFs for the theory and a circuit designer such as IBM Quantum Composer to a...

68. A story of a startup: from zero to one

Benedek Botár (Quantum Nexus Ltd.), Bálint Farádi (Quantum Nexus Ltd.), Kornél Kemecsei (Quantum Nexus Ltd.)

13/11/2026, 12:45

73. TBA

András Gilyén

13/11/2026, 14:10

70. From Supercomputer to Quantum Sensor: Simulating and Measuring Spin Qubits in Tandem

Adam Gali (No institute)

13/11/2026, 14:35

Lecture

Optically addressable electron spins in solids – point defects in diamond, silicon carbide and two-dimensional materials, and molecular spins – are leading platforms for room-temperature quantum sensing. Their development benefits from a close loop between theory and experiment: first-principles simulations on high-performance computers predict structures and spin and optical fingerprints,...

79. Quantum Optical Model of Tin-Vacancy Electronuclear Qubits in Diamond

József Mák (Wigner Research Centre for Physics)

13/11/2026, 15:00

The strong hyperfine splitting of electronuclear tin-vacancy (SnV) levels in diamond has been shown to allow for optically addressable qubits with long coherence times. In this work we present a model of non-zero nuclear spin SnVs in diamond coupled to a quantised optical mode; the model corresponds to SnVs in photonic crystal cavities or optical cavities made of mirrors, realised in earlier...

60. Learning to stop seizures in silico: a GPU reinforcement learning environment from neuron models

Marcell Stippinger (HUN-REN Wigner FK RMI Komputációs Tudományok Osztálya)

13/11/2026, 15:25

Personalized non-invasive neurostimulation is a candidate tool for closed-loop seizure control. We ask whether a reinforcement learning (RL) agent can learn when and how strongly to stimulate to stop seizure-like activity in a model network. We wrote a network of 100 coupled Morris–Lecar neurons, extended with calcium dynamics, as a TorchRL environment. Each agent step in the environment...

61. Who else reads your code? Mitigating data leaks when coding with AI agents

Marcell Stippinger (HUN-REN Wigner FK RMI Komputációs Tudományok Osztálya)

13/11/2026, 15:50

AI coding agents are becoming part of everyday scientific work. Yet every file, prompt and test output an agent reads may leave the institute. This puts intellectual property at risk, both for new research results that we may want to patent and in joint academic–industry projects. Moreover, contracts or data protection law may forbid passing sensitive data to third parties altogether. As AI...