Intel Presents 14 Quantum Computing Papers at APS March Meeting 2022

Intel researchers and collaborators will present 14 papers focused on quantum computing at the American Physical Society’s (APS) March Meeting, according to a company blog post. The meeting will conclude on March 18.

Intel highlights will include an invited presentation on the development of a first-of-a-kind cryogenic wafer prober. Otto Zietz, a quantum hardware engineer at Intel, will present about the prober, which can perform device characterization at 1K to enable rapid and statistically significant data collection of both traditional transistor and quantum dot metrics.

The Intel Quantum SDK; a recently launched full-stack Software Development Kit optimized for executing hybrid algorithms will be presented as well. It includes an intuitive user interface based on C++, a compiler toolchain based on the industry standard LLVM, and a runtime environment adapted for quantum with a high-performance Intel Quantum Simulator qubit target backend.

Here’s a full list of Intel’s papers:

B39: Semiconductor Qubits I

• Two-qubit logic gates with qubits made by advanced semiconductor manufacturing

D40: Noisy Intermediate Scale Quantum Computers III

• Observation of dynamical phase transitions in a superconducting quantum processor implementing five stabilizer terms

F39: Semiconductor Qubits III

• Si/SiGe Single Spin Qubit Devices Enabled by Advanced Semiconductor Fabrication

G38: Quantum Annealing and Optimization II

• Design toolkit for quantum discrete optimization

M28: Quantum in Industry Invited Session: Quantum Information Hardware

• High Throughput Cryogenic Characterization of Industry Fabricated Silicon Based Qubit Devices

N36: Quantum Software and Compilers: Optimization and Program Synthesis

• An Intel Quantum Software Development Kit for Efficient Execution of Variational Algorithms

S36: Spin Qubit Measurement I

• High-fidelity single spin-qubit control with an Intel-developed AWG

T37: Quantum Machine Learning II

• Realization of a quantum neural network by repeat-until-success circuits in a superconducting quantum processor

T40: Quantum Error Correction Theory

• Measurement-free Quantum Error Correction with a Digital Entropy Pump: Part 1
• Measurement-free Quantum Error Correction with a Digital Entropy Pump: Part 2

T47: Machine Learning for Quantum Matter III

• Autonomous identification of quantum dot device failure modes

W40: Noise Reduction and Error Mitigation in Quantum Computing II

• Efficient Analysis of Low Frequency Noise in Quantum Devices

Y36: Novel Spin Qubit Materials and Technologies II

• Qubits made by advanced semiconductor manufacturing

Y39: Quantum Dots and Vacancy Centers

• Probing the Variation of the Intervalley Tunnel Coupling in a Silicon Triple Quantum Dot

The March Meeting is one of the most important events for APS. It is one of the largest physics meeting in the world and offers a unique look at cutting-edge innovations in physics research.

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