According to Tracxn, there are 41 quantum computing startups, and according to CrunchBase, a total of 238 startups are working for quantum computing. The numbers remain nuanced. The global market for quantum computing is about $35.5 billion. In February, the Indian government announced plans to invest $1 billion over the next five years in developing quantum technology.
Quantum technology is still in its infancy globally. As technology requires expertise and advanced computing power, which is not available to everyone, development in this area can only be done by a small number of large technology companies in the US, China and Europe. Only a few research institutes.
Let’s take a look at some of the developments in quantum computing and technology that have happened in 2022.
IBM Qubit and z16
IBM is developing a quantum computer with more than 4000 qubits that is expected to be completed by 2025. In December, IBM announced Condor, the world’s first quantum computer with his 1,000 qubits, due to debut in 2023. Big Blue is making big strides in quantum computing. Field after launching a modular quantum processor called Heron.
In April, IBM released the industry’s first quantum-safe system, the IBM z16. The IBM z16 integrates an on-chip AI accelerator to deliver low-latency inference for real-time transactions, making history in the field of quantum security. The system leverages IBM’s AI inference Telum processors for high-volume processing.
NVIDIA QODA
In July, to replicate the success of its CUDA computing platform, NVIDIA launched its unified computing platform QODA (Quantum Optimized Device Architecture) release. .
Since QODA allows developers to add quantum computing capabilities to existing applications, we aim to make the field more accessible by creating a coherent hybrid quantum-classical programming model. The team said HPC and AI professionals can use the DGX system to leverage these quantum processors and simulate the future of quantum computing.
India – Finland
In March, India and Finland drew up a detailed plan to establish the Indo-Finland Virtual Network Center for Quantum Computing, concluding three institutions – IIT Madras, IISER Pune and C-DAC Pune – for the project. has been identified. FIN-Q n (Finland India Quantum Network) is built to create a sandbox environment for quantum technology companies from both countries.
Tech Mahindra seeks to strengthen the quantum computing sector in India and has now signed an MoU with a Finnish quantum computing company. IQM to advance the field. The partnership also includes a collaboration with Mahindra University for research in quantum computing and explainable AI.
quantum
Quantinuum announced InQuanto 2.0 for computational chemistry using quantum computing. The new version of InQuanto introduces new efficiency tools, advanced algorithms to speed up vector calculations, and an integral operator class. The tool has also been made more user-friendly and has improved resource cost estimates on H-series quantum computers.
IN-SPACE and QNu Labs
India’s National Space Propulsion Certification Center (IN-SPACe) has signed a MoU with Bangalore-based QNu Labs to create a domestic satellite QKD (Quantum Key Delivery) product. This will be achieved by increasing the use of quantum cryptography by startups to address cybersecurity challenges in the classical computing world. The partnership also provides QNu Labs with the help of his ISRO to design the payload.
TCS, Infosys, AWS
in November, TCS Quantum Computing Lab AWS For enterprise customers of quantum computing and applications. This research and development will be powered by Amazon’s Braket, a fully managed service for quantum computing offered by AWS. TCS has worked with governments for academics, research and start-ups to develop quantum technologies.
infosys made a big bet to launch Quantum Living Labs for customers looking to apply quantum computing to applications such as manufacturing, cybersecurity, and healthcare.
twisted programming language
In January, MIT Computer Science and Artificial Intelligence (CSAIL) scientists developed a programming language for quantum computing called Twist. The language relies on the notion of purity to build programs that are intuitive by keeping them free of entanglements, thus making them less buggy.
When programming a quantum computer, two qubits become entangled, and actions performed in one qubit affect the other, resulting in program fragility and inaccuracy. Twist allows developers to explicitly write quantum programs where a qubit is not entangled with another qubit.
Google’s Quantum Virtual Machine
In July, Google launched another product. The Quantum Virtual Machine (QVM) is a tool for prototyping, testing, and optimizing quantum circuits with processor-like output for short-term quantum hardware that can be deployed from Colab notebooks.
Users can emulate two processors, Rainbow and Weber. Weber is the Sycamore processor used in Google’s hyperclassical experiment, published in Nature in 2019. Rainbow is used in the company’s experiments demonstrating variational quantum eigenvalue solvers with quantum chemistry problems.
SpinQ Triangle
In February, China’s SpinQ published a paper on Triangulum, a second-generation three-qubit desktop quantum computer. November saw the release of three of his portable quantum computers (Gemini, Gemini Mini, and Triangulum) used for educational purposes. These computers use nuclear magnetic resonance (NMR) to perform quantum computations based on the motion of atomic spins.
