Quantum computers will become important tools as the next generation of problems emerge. Quantum computing can help solve technical business challenges in industry, including encryption, supply chain issues, financial modeling, and pharmaceutical drug development. These represent just a few of the accelerated, short-term challenges that classical computing struggles to meet with today’s approaches. Additionally, quantum computing can help solve the problems that arise with Web 3.0, immersive virtual reality, augmented reality, and video in a digital world.
The world of quantum computing is changing rapidly. The current state of quantum computing includes different approaches, deliveries, and products in the market, which can lead to a lot of confusion around quantum systems. For example, here are some common questions:
- Do you need a classical computer to use quantum computing?
- What makes quantum computers different from classical computers?
- What is quantum coherence and why is it important?
Infineon and Oxford Ionics
Changes in the quantum computing market should not be overlooked. There are different approaches to solving these challenges, but first we need to understand the basic principles that form the foundation of quantum computing.
Adding and scaling quantum processing units (QPUs) provides an approach that takes quantum systems from research to real industrial applications. For example, let’s look at the recent announcement from Infineon and Oxford Ionics. One of the hurdles in quantum computing is scaling while improving performance.
Chris Ballance, co-founder of Oxford Ionics, explained how his relationship with Infineon enables faster access to commercial QPUs. This collaboration uses fewer qubits to solve problems compared to approaches from other vendors. Infineon and Oxford Ionics achieve this by reducing error rate and scaling, resulting in repeatable and reliable assembly. This accelerated approach allows data scientists to push the boundaries of science and research to solve today’s problems.
Quantum Computing Inc.
Another recent announcement comes from Quantum Computing Inc. (QCI) regarding the commercial viability of quantum computing.
In a recent briefing, Rebel Brown, VP of Marketing at QCI, explained how optimization often presents a challenge that quantum computing can solve. In a real-world use case with BMW’s vehicle sensor positioning challenge, QCI introduced a new quantum hardware technology called Entropy Quantum Computing (EQC). EQC solved this optimization problem with over 3,854 variables and 500 constraints.
To compare this to other quantum technologies on the market, other offerings provide a maximum output of around 400 variables. EQC performs 70 times faster than competing options and provides the stability needed for repeatability, respecting quantum coherence.
Cambridge Quantum and Honeywell Quantum Solutions
One merger of note is the integrated quantum computer business of Cambridge Quantum and Honeywell Quantum Solutions. The new company Quantinuum, in collaboration with materials technology scientists from JSR Corporation, has launched an autonomous platform called InQuanto, powered by Honeywell. Used by BMW, JSR, Nippon Steel Corporation and TotalEnergies, InQuanto bridges noise mitigation algorithms, methods and techniques used by scientists on quantum computers.
InQuanto aims to provide scientists and researchers with a better understanding of the capabilities of quantum computers for computational chemistry. By exploring quantum computing for semiconductor research, this joint venture offers industrial partners – such as automotive, chemical, pharmaceutical and energy – new ways to solve challenges complex.
This comes with TKET, an open-source developer toolkit with platform access allowing researchers to retarget algorithms from one device to another.
The industry is moving and evolving rapidly when it comes to quantum computing. Today’s challenges are more complex and detailed than ever, and they’re not slowing down. Demands for faster results in medicine, security, finance and healthcare are accelerating.
The Trump administration signed into law the National Quantum Initiative Act four years ago, authorizing $1.2 billion over five years for federal activities aimed at increasing investment in quantum information science. It will be interesting to see how providers in this space capitalize on the next stage of proposed funding.