Quantum\u00a0computing: The promise is real but so are the challenges<\/p>\n
Quantum\u00a0computing isn\u2019t just about scientific theory anymore. It\u2019s already being tested and applied in some of the most demanding industries. Its unparalleled ability\u00a0to\u00a0evaluate multiple possibilities simultaneously makes it an ideal choice for specific domains \u2013 from accelerating drug discovery\u00a0to\u00a0enabling faster financial risk modelling. What makes it powerful is its ability\u00a0to\u00a0consider many possibilities at once, making it ideal for problems that involve many variables and outcomes.<\/p>\n
But today\u2019s\u00a0quantum\u00a0machines are still in their early stages of development, characterised by limited qubit counts and relatively low fidelity rates. Systems\u00a0will\u00a0require significant improvement\u00a0to\u00a0achieve practical applications. Additionally, the control mechanisms required\u00a0to\u00a0implement instructions are prone\u00a0to\u00a0errors due\u00a0to\u00a0the intricate interplay of\u00a0quantum\u00a0phenomena, making it challenging\u00a0to\u00a0maintain coherence and accuracy. The complexity of\u00a0quantum\u00a0algorithms and the need for extensive error correction tools make it challenging\u00a0to\u00a0scale up qubit counts and improve overall computational power.<\/p>\n
Moreover, the\u00a0quantum\u00a0computers\u2019 limited capabilities in solving optimisation problems and machine learning tasks, which are critical applications in many fields, highlight the pressing need for HQCC approaches that can leverage the strengths of both paradigms. By combining the power of\u00a0quantum\u00a0processors with the stability and reliability of classical systems, HQCC offers the best of both worlds.<\/p>\n
![\"\"](\"https:\/\/www.newsbeep.com\/ca\/wp-content\/uploads\/2025\/08\/image002-50.jpg\")
\u00a0John Roese, global CTO and chief AI officer of Dell Technologies.<\/p>\n
Preparing for\u00a0quantum: How businesses can start today<\/p>\n
It\u2019s important\u00a0to\u00a0understand that HQCC isn\u2019t an alternative\u00a0to\u00a0current High-Performance Computing (HPC) operations, but an enhancement. Despite its potential, HQCC comes with some critical hurdles that need\u00a0to\u00a0be addressed, such as software interoperability, shortage of talent and evolving hardware advancements. Keeping that in mind, businesses that start exploring\u00a0hybrid\u00a0solutions now\u00a0will\u00a0be better positioned as\u00a0quantum\u00a0capabilities advance.<\/p>\n
Here\u2019s a simple three-step approach to get started:<\/p>\n
Discover: Begin with learning and experimentation. Quantum computing is an emerging field, so the first stage of preparing your business is to do some foundational research. Once you\u2019re ready to experiment, consider using emulation for developing, porting and optimising code for quantum computing on a classical infrastructure, avoiding major upfront costs.<\/p>\n
\u00a0Identify: Not every problem is suited to quantum. You wouldn\u2019t want to use it to do any kind of calculation that has one exact answer. For example, you shouldn\u2019t use it to calculate your tax bill or process your payroll. On the other hand, it can be very good at solving optimisation problems. The key is to look for situations that are difficult to model because of a large number of variables. You also want use cases that are intrinsic to your business, where improving operations would have a large impact on your bottom line.<\/p>\n
Deploy: Enable frictionless deployment into production and real business benefits. HQCC offers a flexible approach to deploying quantum computing solutions into production. By combining classical processing with the power of quantum computing, Hybrid Quantum-Classical Systems (HQCS) enable developers to create and test quantum algorithms in a familiar classical environment before deploying them on expensive quantum hardware. That means you can achieve frictionless deployment into production, accelerating your entry into the quantum computing era while minimising the risks of adopting a new technology.<\/p>\n
The intersection of HQCC and AI<\/p>\n
AI and quantum computing are increasingly converging. As AI models become more complex and classical systems begin to hit performance and energy limits, the potential for hybrid technologies like HQCC, which combines the capabilities of both AI and quantum, is immense.<\/p>\n
AI enhances quantum computing by:<\/p>\n
\u00b7 Optimising workloads: AI can intelligently allocate tasks between classical and quantum processors.<\/p>\n
\u00b7 Improving algorithm efficiency: AI can refine quantum algorithms to run more efficiently on quantum hardware.<\/p>\n
\u00b7 Accelerating development: AI enables progress in quantum computing without relying on dedicated quantum hardware.<\/p>\n
In turn, HQCC can advance AI by:<\/p>\n
\u00b7 Providing unparalleled compute power: Quantum computers can handle complex computations that classical systems struggle with, enabling AI models to scale in domains such as material science and drug discovery.<\/p>\n
\u00b7 Offering increased energy efficiency: By leveraging both classical and quantum processing, HQCC can deliver improved energy efficiency for AI tasks.<\/p>\n
This two-way relationship creates synergy between AI and quantum computing, boosting the performance of each field and opening new possibilities across industries as they continue to mature.<\/p>\n
Looking ahead: A smart step towards the future<\/p>\n
The\u00a0hybrid\u00a0computing era is not just about technology \u2013 it\u2019s about transformation. Imagine a world where problems that used\u00a0to\u00a0take years\u00a0to\u00a0solve are now tackled in days or even hours. With the seamless integration of HQCC, this vision is quickly becoming reality. For forward-thinking enterprises, implementing\u00a0hybrid\u00a0solutions is the path\u00a0to\u00a0unlocking long-term growth, efficiency and innovation.<\/p>\n","protected":false},"excerpt":{"rendered":"While\u00a0quantum\u00a0computing (QC) is on track\u00a0to\u00a0revolutionise technology, it isn\u2019t poised\u00a0to\u00a0replace classical computing just yet. Instead, a\u00a0Hybrid\u00a0Quantum-Classical Computing (HQCC) approach,…\n","protected":false},"author":2,"featured_media":84857,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[49,48,285,60,50606,50607,290,61],"class_list":{"0":"post-84856","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-computing","8":"tag-ca","9":"tag-canada","10":"tag-computing","11":"tag-featured","12":"tag-hybrid-quantum-classical-computing","13":"tag-john-roese","14":"tag-quantum-computing","15":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/84856","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/comments?post=84856"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/84856\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media\/84857"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media?parent=84856"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/categories?post=84856"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/tags?post=84856"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}