# Intel Releases Quantum

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### SDK download

https://github.com/intel/vscode-quantum-sdk

https://github.com/intel/intel-qs

https://marketplace.visualstudio.com/items?itemName=intel-corporation.intel-quantum-sdk
2017 2019 2022

https://www.cyberithub.com/how-to-install-gcc-c-compiler-on-ubuntu-20-04-lts/

https://github.com/dyordan1/qublets

### Q#
https://learn.microsoft.com/zh-tw/azure/quantum/overview-what-is-qsharp-and-qdk
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https://download.intel.com/newsroom/2022/new-technologies/quantum-computing-backgrounder.pdf

Quantum Computing | Fact Sheet

Quantum Computing
Quantum computing presents a new computing paradigm that harnesses the power
of quantum physics to solve complex problems exponentially faster than conventional
compute. It promises to revolutionize industries and solve critical problems involving
climate change, chemical engineering, drug design and discovery, finance, and
aerospace design. While there have been many developments, there are major
challenges that must be solved to realize its full potential.
Quantum computing employs the properties of
quantum physics like superposition and
entanglement to deliver the ultimate in parallel
computing. Traditional transistors use binary
encoding of data represented electrically as “on”
or “off” states. Quantum bits or “qubits” can
simultaneously operate in multiple states
enabling unprecedented levels of parallelism and
computing efficiency. However, qubits are
tremendously fragile. Any radio frequency noise
or unintended observation can cause data loss.
To eliminate noise, qubits must operate at a
temperature of approximately 20 millikelvin –
or 250 times colder than deep space.
While quantum computers promise greater
efficiency and performance to handle certain
problems, it will take a massive amount of
computing power to design, model, build and
operate these systems. In addition, they won’t
replace the need for conventional computing.
As the complexity of workloads and applications
continues to grow, quantum computing will
augment supercomputers and high-performance
computing (HPC). A large-scale supercomputer
or substantial classical compute infrastructure
will run applications resulting in a “hybrid”
quantum/classical model.
Currently, quantum systems only include tens or
hundreds of entangled qubits, in which two
members of a pair of qubits exist in a single
quantum state. To achieve commercial relevance,
quantum systems need to scale to over a million
qubits and overcome daunting challenges,
like qubit fragility and software programmability.
While there have been many recent
developments, Intel believes the industry
is still about 10 years from large-scale
commercial implementation.
Quantum Computing | Fact Sheet
Intel’s Vision for Quantum Computing
Intel has invested heavily in quantum computing
research over the past decade and is taking a fullsystems architecture approach that spans the
complete compute stack from qubit architecture
and algorithms research to control electronics,
interconnects, quantum software toolchains and
compilers, continuing all the way to the
application layer. In addition, Intel has a role in
both quantum and HPC technology and is
uniquely positioned to lead the way in developing
a whole system architecture as this nascent
technology evolves.
There are several approaches to quantum
computing, but Intel is leveraging its deep
expertise in silicon transistor design, high-volume
manufacturing and advanced fabrication
technologies to create “hot silicon spin qubits.”
These qubits are much smaller computing
devices that operate at high temperatures and
behave in ways analogous to transistors.
Intel is focusing on finding ways to build silicon
spin qubits on silicon wafers and is working on
advancing qubit manufacturing process
technology. In April 2022, a collaboration
between researchers at Intel and QuTech
resulted in the discovery of a qubit manufacturing
process that fabricated more than 10,000 arrays
with several silicon-spin qubits on a single wafer
with greater than 95% yield. This groundbreaking
research demonstrates that qubits could
eventually be produced in the same
manufacturing facilities alongside conventional
microprocessors and provides a step forward
toward scaling quantum chips.
At the hardware level, Intel has developed a
customized test chip for spin qubits, the secondgeneration Horse Ridge II cryogenic control chip
and designed a new tool called the cryoprober to
test and characterize these 300-millimeter silicon
spin qubit wafers at scale to speed research and
accelerate commercialization. At the software
level, Intel released an open-source beta version
of the Intel Quantum Software Development Kit
(SDK) available on Intel DevCloud, enabling
developers to begin programming for quantum
applications and explore future uses of the
technology on Intel hardware.
Quantum Computing | Fact Sheet
Intel is also committed to developing the entire
quantum industry ecosystem across the compute
stack. The company has several collaborators in
academia and works closely with the Delft
University of Technology (TU Delft) and the
Netherlands Organization for Applied Scientific
Research (TNO), as well as government agencies
including Q-NEXT, led by the U.S. Department of
Energy’s Argonne National Laboratory. In
addition, Intel’s director of quantum hardware
serves on the board of the White House Office of
Science and Technology Policy (OSTP) and the
U.S. Department of Energy’s (DOE) National
Quantum Initiative.
Post Quantum Cryptography
While quantum computers are still years away,
there are several threats to consider today. The
goal is to be “Y2Q” ready by 2030, as adversaries
are already harvesting data and saving encrypted
data today with the intention of breaking
encryption in the future. To prepare for this, Intel
has created a phased approach for post-quantum
cryptography (PQC). It includes increasing the
robustness of Intel products to help establish
quantum-resistant root-of-trust and engaging
with standards bodies such as the National
Institute of Standards and Technology (NIST) to
develop, harden and accelerate technologies to
secure web transactions.
What’s Next?
Intel’s quantum computing vision focuses on
quantum practicality and scalability to bring
quantum out of the lab and into commercial
reality. Intel’s researchers are truly excited about
the possibilities ahead. They remain steadfast in
Intel’s journey to help break down the
technological barriers and apply expertise to
make a large-scale quantum compute system,
and ultimately realize quantum’s full potential.

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https://www.intel.com/content/www/us/en/newsroom/news/intel-releases-quantum-sdk.html#gs.5ca8za

Additional features include:

- Code in familiar patterns: Intel has extended the industry-standard LLVM with quantum extensions and developed a quantum runtime environment that is modified for quantum computing, and the IQS provides a state-vector simulation of a universal quantum computer.
- Efficient execution of hybrid classical-quantum workflows: The compiler extensions allow developers to integrate results from quantum algorithms into their C++ project, opening the door to the feedback loops needed for hybrid quantum-classical algorithms like the quantum approximate optimization algorithm (QAOA) and quantum variational eigen-solver (VQE).
- High-performance simulation:
Intel® DevCloud users can build executables capable of simulating applications and algorithms with up to 32 qubits on a single computational node and more than 40 on multiple nodes.

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How to use
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Memory


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# example

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

https://www.intel.com/content/www/us/en/secure/forms/developer/quantum/quantum-sdk.html

https://www.intel.com/content/www/us/en/developer/tools/devcloud/edge/overview.html