16 June 2022
Optica’s Quantum 2.0 Convenes Leaders Across the Quantum Ecosystem
BOSTON, Mass. — Our future will increasingly depend on “quantum 2.0” technology, which taps into phenomena like superposition and entanglement to permit everything from quantum information systems to quantum computing, sensing, timing and imaging. From quantum computing to advanced quantum imaging technologies, applications for quantum simulation, Quantum 2.0 brought together all aspects of the quantum ecosystem. Select presentations were recorded for in-person and virtual participants.
“This conference—the second in the new conference series— brought together academics, engineers, national laboratory and industry scientists and others working to advance quantum science and technology (QIST),” said Christopher Monroe, Duke University, United States, Co-Chair. “Within the last two decades, a second wave of quantum technology (QT) has progressed from fundamental research to experiments in university labs.”
“Our goal with the conference was to promote the development of mature quantum technologies that will allow us to build quantum 2.0 systems capable of quantum advantage,” said Michael Raymer, University of Oregon, United States, Co-Chair. “Conference attendees had the opportunity to interact and discover common ground and potentially build collaborations leading to new concepts or development efforts. Quantum 2.0 presentations showed the path forward to new scientific frontiers beyond the scope of current quantum technologies.”
Show Floor Programming
Quantum 2.0 included a show floor program that featured six programs with half focused on technical challenges and the other half exploring broader challenges facing the nascent quantum 2.0 industrial community. The show floor programs covered the prospects and challenges facing quantum sensors, quantum networks, quantum internet and quantum computing. The rapidly evolving quantum industry has faces challenges in developing a robust quantum workforce, panel discussions highlighted what can companies do to find and recruit the best candidates.
Nathalie de Leon, Princeton University, USA
Building large, useful quantum systems based on transmon qubits will require significant improvements in qubit relaxation and coherence times, which are orders of magnitude shorter than limits imposed by bulk properties of the constituent materials. However, significant improvements in the lifetime of planar transmon qubits have remained elusive for several years. Nathalie de Leon and her team at the Co-design Center for Quantum Advantage, set out looking for new material systems for quantum computing, specifically superconducting qubits. De Leon notes that superconducting cubits have been successful platform for quantum information processing. She explained that her team has fabricated planar transmon qubits that have both lifetimes and coherence times exceeding 0.3 milliseconds by replacing niobium with tantalum in the device. Following this discovery, the team has parametrized the remaining sources of loss in state-of-the-art devices using systematic measurements of the dependence of loss on temperature, power, and geometry. This parametrization, complemented by direct materials characterization, allows for rational, directed improvement of superconducting qubits.
Jian-Wei Pan, University of Science and Technology of China
Presentation: From Multi-Photon Entanglement to Quantum Computational Advantage
By developing high-performance quantum light sources, the multi-photon interference has been scaled up to implement boson sampling with up to 76 photons out of a 100-mode interferometer, which yields a Hilbert state space dimension of 1030 and a rate that is 1014 faster than using the state-of-the-art simulation strategy on supercomputers. Such a demonstration of quantum computational advantage is a much-anticipated milestone for quantum computing. The special-purpose photonic platform will be further used to investigate practical applications linked to the Gaussian boson sampling, such as graph optimization and quantum machine learning.
John Preskill, California Institute of Technology, USA
Presentation: Making Predictions in a Quantum World
“We are classical beings living in a quantum world, and sometimes our classical nature limits our ability to learn about and understand the underlying quantum reality that surrounds us,” Preskill started his keynote with this profound statement. He continued onto explain we can enhance our ability to understand the quantum world -- in particular and complex quantum systems with many cubits with the capacity to become profoundly entangle. Preskill reviewed an experimentally feasible procedure for converting a quantum state into a succinct classical description of the state, its classical shadow. Classical shadows can be applied to predict efficiently many properties of interest, including expectation values of local observables and few-body correlation functions. Preskill concluded by noting that learning is classical, and a quantum platform is needed. With access to data, we will be able to solve problems too difficult to otherwise solve.
Christine Silberhorn, Paderborn University, USA
Presentation: Photonic Quantum Information Processing
High-dimensional quantum systems based on single and multi-photon states offer an attractive platform for quantum information and technology applications. During her presentation, Silberhorn discussed the challenges, potential and current progress for the experimental implementation of large photonic systems for scalable quantum information processing.
Michael Totzeck, Carl Zeiss, Germany
Presentation: Innovation Potentials of Quantum Technology of 2nd Generation for Optics and Photonics
Starting from the requirements in microscopy, health care, industrial metrology and optical lithography, Totzeck described how Carl Zeiss analyzed the potential of a range of quantum optical concepts in comparison to the classical state of the art. In particular, the team looked to ghost imaging, imaging with undetected photons, the use of entangled photons for 2 photon imaging and optical coherence microscopy, NOON state metrology and lithography, antibunching microscopy and NVC magnetic field measurements.
Peter Zoller, University of Innsbruck, Austria
Presentation: Programmable Quantum Simulators with Atoms and Ions
Quantum simulation aims at “solving” complex quantum many-body problems efficiently and with controlled errors on quantum devices. Zoller detailed quantum simulation from the perspective of programmable analog quantum simulators, as realized in present cold atom and ion experiments, where the unique features are scalability to large particle numbers and programmability. The presentation explained work from a theory-experiment collaboration with a programmable trapped ion platform with up to fifty qubits/spins, with the goal to develop and demonstrate a toolbox of quantum protocols, addressing questions from fundamental quantum science to application as quantum technology.
Optica (formerly OSA), Advancing Optics and Photonics Worldwide, is the society dedicated to promoting the generation, application, archiving and dissemination of knowledge in the field. Founded in 1916, it is the leading organization for scientists, engineers, business professionals, students and others interested in the science of light. Optica’s renowned publications, meetings, online resources and in-person activities fuel discoveries, shape real-life applications and accelerate scientific, technical and educational achievement. Discover more at: Optica.org