Final Program for the 2023 QC-DCEP
| Speaker | Title/Summary |
| TUESDAY, October 24, 2023 Topics: Qubits, Devices, and Cryo-electronics … |
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| Introduction to Quantum Computing: From Algorithm to Hardware Slides  Video  (40:10 + Q&A) |
Prof Hiu Yung Wong, San Jose State University — Quantum computing is expected to change the world by providing exponential speed-up in solving some very difficult problems. In this tutorial, we will first discuss the fundamental principles of quantum computing algorithms. Error correction … [more] |
| Introduction to Quantinuum and TKET Slides Video (35:01 + Q&A) |
Dr. Kathrin Spendier, Quantinuum — Quantinuum integrates state-of-the-art trapped-ion quantum computing hardware and software to deliver solutions across various applications, including drug discovery, materials science, and finance. The company serves as a center of gravity in the quantum computing world, fostering widespread collaboration. This is facilitated by … [more] |
| Quantum Computing with Silicon Spins Slides Video (45:30 + Q&A) |
Dr. Dominik Zumbühl, NCCR SPIN, University of Basel — I cover recent progress from the NCCR SPIN, the Swiss National Program on Quantum Computation with silicon and germanium spin qubits. Some of the highlights include ultrafast qubit operation, taking only 1 ns to coherently rotate a spin from pointing up to down; operation of spin qubits at temperatures up to 5 K, where vast cooling power becomes available; and finally demonstration of sweet spots … [more] |
| Network Architecture for a Scalable Spin Qubit Processor Slides Video (32:32 + Q&A) |
Prof. Jonathan Baugh, University of Waterloo — This talk will focus on electron spin qubits in silicon MOS quantum dots, and the prospects for building a large-scale processor. We propose a node/network architecture for implementing surface code quantum error correction. The scheme splits the scalability problem in two parts: inter-node entanglement distribution and intra-node operations. This approach … [more] |
| Readout of Spins in Silicon Slides Video (18:56 + Q&A) |
Dr M. Fernando Gonzalez-Zalba, Quantum Motion Technologies — Spin qubits in silicon are a promising platform for scalable quantum computing due to their small footprint, VLSI compatibility and demonstrated operation fidelities above fault-tolerant thresholds. In the path to scaling, a key aspect is developing compact and fast high-fidelity readout techniques to enable highly connected qubit architectures as well as mid-circuit measurements, a necessary feature for many dynamic algorithms … [more] |
| Technical Challenges Facing Quantum Computing with Superconducting Transmon Qubits Slides Video (40:30) |
Dr. Daniel Tennant, Rigetti Computing — In the last decade, Quantum Information Science has advanced from a mainly academic research topic to a rapidly growing section of the economy. During this time, superconducting qubits have become one of the most promising hardware platforms for near-future quantum computing processors. Devices based on superconducting circuits, cavities, and resonators … [more] |
| A 22nm FD-SOI-CMOS Scalable Quantum Processor SoC with Fully Integrated Control Electronics at 3.5K Slides Video (38:20 + Q&A) |
Dr. Imran Bashir, Equal1 Labs — Tutorial: For electrical engineers who are not fully versed in physics and quantum mechanics. Silicon based Qubits have been proposed as an alternative to Josephson junction structures when it comes to scaling the quantum processor from hundreds to a thousand Qubits. The control electronics in such system needs to generate a unique RF control and DC bias per Qubit … [more] |
| A Scalable Architecture for Integrating Spin Qubits with Cryogenic Electronics Slides Video (20:24) |
René Otten, Forschungszentrum Jülich GmbH –Spin Qubits are quickly emerging as one of the most promising platforms for a scalable quantum computing system, mainly due to increasing qubit numbers and fidelities compatible with quantum error correction. However, scaling beyond lab-scale systems to millions of qubits remains an open challenge. In this talk, I will elaborate on our plan to tackle this problem using a highly scalable architecture and cryogenic electronics … [more] |
| Photonics Integrated Circuits for Quantum and Beyond Slides Video (27:50 + Q&A) |
Dr. Minh Tran, Nexus Photonics — In the fast-paced world of quantum computing, the demand for scalable and adaptable technology platforms continues to grow. Nexus Photonics is at the forefront of this change, offering a photonics platform that not only holds promise for quantum applications but also advocates for a significant reduction in size, weight, and power (SWAP), promoting cost-efficiency and scalability … [more] |
| Nonlinear Integrated Photonics for Quantum Communications and Computing Slides Video (39:53 + Q&A) |
Trevor Steiner, UC-Santa Barbara — The development of scalable optical technologies for quantum communications, computing, and precision measurements requires reducing existing table-top experiments to fully integrated chip-scale photonic circuits. We utilize several approaches, including AlGaAs-on-insulator, silicon nitride, and III-Vs on silicon, that combine ultra-bright deterministic and probabilistic quantum light sources … [more] |
| The International Race For A Quantum Computer Slides Video (17:56) |
Kristine Boone, PhD, Photonic Inc. — Silicon transistors, the essential building block of most modern electronic devices, cannot shrink much further without being rendered inoperable by quantum mechanics. This classical-quantum threshold in fact presents a tremendous opportunity: if we harness quantum mechanics, rather than attempt to avoid it … [more] |
| Benefits of becoming a Member of an IEEE Society: CASS, EDS, EPS, CS … |
Dr. Nandish Mehta, Nvidia |
| WEDNESDAY, October 25, 2023 Topics: Cryo CMOS, Software Compilers, Quantum Circuit Simulators, Packaging/Assembly … |
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| Cryo-CMOS Transceivers for Control and Readout of Semiconductor Spin Qubits Slides Video (38:48 + Q&A) |
Prof. Masoud Babaie, TU Delft — A fault-tolerant quantum computer operates at deep cryogenic temperatures (typically 20-100mK) and requires massive yet very precise control electronics for the manipulation and read-out of individual quantum bits (qubits). The most complex state-of-the-art quantum computer (with 53 qubits)… [more] |
| Thermal Management Challenges in Cryogenic System Integration: Spin Qubit Biasing with a CMOS DAC at mK Temperature Slides Video (15:50 + Q&A) |
Dr. Lea Schreckenberg, Forschungszentrum Jülich GmbH — To pave the way of integrating millions of qubits to run advanced algorithms on a universal quantum computer, a scalable control and read out of these qubits is crucial for the overall system. Due to the wiring in state-of-the-art dilution refrigerators (DR), the systems’ scalability with room temperature electronics is strictly limited … [more] |
| Challenges of Cryogenic CMOS Controller for Qubits Slides Video (22:43 + Q&A) |
Chia-Hsin Lee, Taiwan Semiconductor Research Institute — The cryo-CMOS control interface circuits are a key enabling technology for the scale-up of quantum computers. To achieve a fidelity of Qubit operation greater than 99.99%, this controller chip needs to perform well with low noise and a Spur-Free Dynamic Range (SFDR) … [more] |
| Power Integrity Challenges in Large Scale Quantum Computers and Solutions Slides Video (16:07 + Q&A) |
Alfonso R. Cabrera-Galicia, Forschungszentrum Jülich GmbH — The ICs belonging to a quantum computer need stable and regulated supply voltages for proper operation, e.g. the phase noise of RF oscillators is dependent on their power supply quality. Moreover, the power supply needs of a large scale QC will be challenging to satisfy by simply using supply lines connecting the ICs inside the cryostat with the power sources at room temperature. This is because … [more] |
| Fully-integrated Cryo-CMOS Spin-to-digital Readout for Spin Qubits Slides Video (19:38 + Q&A) |
Michele Castriotta, Politecnico di Milano — We have successfully fabricated and characterized a fully-integrated CMOS readout that operates at cryogenic temperatures for semiconductor spin qubits. Our readout achieves a comparable or even smaller single-shot readout time compared to RF-reflectometry. It is based on a direct spin-to-digital conversion … [more] |
| Integrated Quantum-Classical Applications with CUDA Quantum Slides Video (27:48 + Q&A) |
Dr. Jin-Sung Kim, Nvidia Santa Clara — A critical challenge to leveraging the computational advantages of a future quantum processor is to effectively combine it with the best existing classical computing infrastructure. A key tool for enabling hybrid quantum-classical research and application development is a programming model and software toolchain … [more] |
| NVIDIA cuQuantum SDK: Accelerating Quantum Circuit Simulation I – cuTensorNet Slides Video (39:25 + Q&A) |
Dr. Azzam Haidar, Nvidia Tennessee –We present the NVIDIA cuQuantum SDK, a state-of-the-art library of composable primitives for GPU-accelerated quantum circuit simulations. The cuQuantum SDK was created to accelerate and scale-up quantum circuit simulators developed by the quantum information science community by enabling them to utilize efficient scalable software … [more] |
| NVIDIA cuQuantum SDK: Accelerating Quantum Circuit simulation II – cuStateVec Slides Video (37:44) |
Dr. Shinya Morino, Nvidia Tokyo –The cuStateVec library is a part of NVIDIA’s cuQuantum SDK and accelerates state vector simulations on NVIDIA GPUs. It provides APIs to accelerate gate applications, sampling, and other common operations in state vector simulations on single GPUs. The library also provides APIs … [more] |
| Quantum Error Correction in Bosonic Qubits Slides Video (28:35 + Q&A) |
Dr. Marina Kudra, Intermodulation Products — Quantum error correction (QEC) is an essential ingredient of quantum computers. It is an algorithm that lowers the rate of physical qubit errors by redundantly encoding binary quantum information in a multidimensional quantum system. I explain at a high level what quantum error correction … [more] |
| Understanding and Addressing Challenges in Superconducting Qubit Scale Slides Video (23:32 + Q&A) |
Jennifer Smith, University of California, Santa Barbara –In this talk, I discuss some of the fundamental constraints on system scale arising from the interplay of cryogenics, RF-based control, and superconducting device design and packaging. I will provide a case study … [more] |
| Superconducting Multi-Chip Module (SMCM) Slides Video (16:52 + Q&A) |
Dr. Rabindra Das, MIT Lincoln Laboratory — Superconducting single-flux-quantum-based (SFQ) digital integrated circuits (ICs) are a promising candidate for a high speed and ultra-low energy dissipation computing system. Circuits based on several versions of SFQ-type logic, RQL … [more] |
| Workshop Conclusion and Raffle event … |
Dr. Nandish Mehta, Nvidia Santa Clara |