1 Good general site

https://quantumzeitgeist.com/

2 Conference showing real world interest in quantum computing

https://q2b.qcware.com/2022-conferences/silicon-valley/december-6-detailed-program/

3 Intel Quantum Computing - 2

1. They use hot (temp: 1K) silicon spin qbits.

1. https://newsroom.intel.com/news/intel-qutech-demonstrate-high-fidelity-hot-qubits-practical-quantum-systems/#gs.iri5sn

2. https://en.wikipedia.org/wiki/Spin_qubit_quantum_computer

3. https://physicsworld.com/a/silicon-spin-qubits-manufactured-on-an-industrial-scale/

1. https://quantumcomputingreport.com/intel-releases-their-own-quantum-sdk-for-beta-test-and-they-are-funding-universities-to-develop-curricula-using-it/

2. https://download.intel.com/newsroom/2022/2022innovation/quantum-sdk-backgrounder.pdf

3. An LLVM-based C++ Compiler Toolchain for Variational Hybrid Quantum-Classical Algorithms and Quantum Accelerators

   Variational algorithms are a representative class of quantum computing workloads that combine quantum and classical computing. This paper presents an LLVM-based C++ compiler toolchain to efficiently execute variational hybrid quantum-classical algorithms on a computational system in which the quantum device acts as an accelerator. We introduce a set of extensions to the C++ language for programming these algorithms. We define a novel Executable and Linking Format (ELF) for Quantum and create a quantum device compiler component in the LLVM framework to compile the quantum part of the C++ source and reuse the host compiler in the LLVM framework to compile the classical computing part of the C++ source. A variational algorithm runs a quantum circuit repeatedly, each time with different gate parameters. We add to the quantum runtime the capability to execute dynamically a quantum circuit with different parameters. Thus, programmers can call quantum routines the same way as classical routines. With these capabilities, a variational hybrid quantum-classical algorithm can be specified in a single-source code and only needs to be compiled once for all iterations. The single compilation significantly reduces the execution latency of variational algorithms. We evaluate the framework's performance by running quantum circuits that prepare Thermofield Double (TFD) states, a quantum-classical variational algorithm.

4. https://www.hpcwire.com/off-the-wire/intel-labs-releases-beta-version-of-intel-quantum-software-development-kit/

5. https://www.linkedin.com/pulse/writing-hybrid-quantum-algorithm-using-intel-sdk-beta-ibrahim

   We may cover this in class.

6. qHiPSTER: The Quantum High Performance Software Testing Environment

   We present qHiPSTER, the Quantum High Performance Software Testing Environment. qHiPSTER is a distributed high-performance implementation of a quantum simulator on a classical computer, that can simulate general single-qubit gates and two-qubit controlled gates. We perform a number of single- and multi-node optimizations, including vectorization, multi-threading, cache blocking, as well as overlapping computation with communication. Using the TACC Stampede supercomputer, we simulate quantum circuits ("quantum software") of up to 40 qubits. We carry out a detailed performance analysis to show that our simulator achieves both high performance and high hardware efficiency, limited only by the sustainable memory and network bandwidth of the machine.

7. Intel Quantum Simulator

   We'll download and install this.

8. https://intel-qs.readthedocs.io/en/docs/get_started_examples.html

9. https://quantumzeitgeist.com/intels-quantum-sdk-is-in-beta/

10. https://quantumzeitgeist.com/intel-corporation-collaborates-with-qutech-to-build-worlds-first-industrially-manufactured-qubit-device/