Scott Genin, Vice President of Materials Discovery at OTI Lumionics, is interviewed by Yuval Boger.
Read the full transcript or listen to the episode at the Quantum Computing Report site here
Key points are:
- Background and Role: Scott leads early-stage materials development processes at OTI Lumionics, focusing on computational tools for simulating materials and directing preliminary synthesis.
- About OTI Lumionics: Founded in 2011, the company specializes in developing novel materials and engineering applications for OLEDs and displays. They are currently in the mass production qualification stage.
- Quantum Computing in Material Design: Quantum computing allows OTI Lumionics to narrow down potential chemical candidates from thousands to hundreds, saving time and resources. It enhances the precision of quantum chemistry simulations.
- Quantum-Inspired Algorithms: Due to the limitations of current quantum computers, the company uses quantum-inspired algorithms that run on classical hardware. These algorithms are designed to simulate many qubits and are focused on quantum chemistry.
- Molecule Complexity: OLED molecules can range from 40 to 90 atoms and may include heavy metals like platinum or iridium, adding complexity to the simulations.
- Development Journey: Initially, the company aimed to run simulations on quantum computers but shifted to quantum-inspired algorithms due to the limitations of existing quantum hardware.
- Requirements for True Quantum Computing: Scott believes that for a quantum computer to be useful in their work, it would need at least 300 logical, fully interconnected qubits with near-perfect fidelity.
- Applicability Beyond OLEDs: The quantum-inspired method they've developed can be applied to other fields like pharma and carbon capture, as it solves the electronic structure problem that underpins materials discovery.
- Other Quantum Computing Types: While they have considered annealers and are open to analog quantum computers, they find that these have niche applications in their work.
Read the full transcript or listen to the episode at the Quantum Computing Report site here
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