EY Deploys On-Site Quantum Computing for Enterprise Transformation

EY is deploying on-site quantum computing capabilities, signaling a move beyond exploration to active implementation for its clients and a substantial investment in technology. This expansion, led by EY Canada, is part of a global investment exceeding US$3 billion in artificial intelligence and emerging technologies, providing dedicated access and control over application development and data management.

“AI may be the defining technology platform of this decade, and quantum will ultimately expand its horizons,” says Raj Sharma, EY Global Managing Partner, Growth & Innovation. These new capabilities will refine quantum solutions and enable clients to gain practical experience with the technology.

EY has committed over US$3 billion to artificial intelligence and technologies, establishing on-site quantum computing capabilities to move beyond research and directly serve client needs. This investment signals an intent to implement quantum solutions and builds upon recent quantum patent achievements. The firm is also bolstering its “Client Zero” approach, internally developing and rigorously testing quantum-enabled solutions before deployment for external clients.

This strategy addresses growing concerns around data security and regulatory compliance, as owning the quantum system in-house offers advantages over cloud-based alternatives. EY’s expansion includes the launch of ey. ai, The Reimagination Engine, an AI-led technology system designed to facilitate enterprise-wide value realization, operating on the premise that “AI is only as valuable as the hands that shape it.” A key application is the transformation of Earth data into actionable business insights, as demonstrated by work with Xoople.

Quantum computing has the ability to solve complex challenges that classical computing alone cannot address.

Biren Agnihotri, EY Canada Chief Technology Officer

This expansion, spearheaded by EY Canada, establishes dedicated access and greater control over application development, specifically addressing data residency and management concerns increasingly vital for regulated industries. The firm’s strategy prioritizes building a technical foundation essential for organizations preparing to leverage quantum computing’s potential. Combining AI with the greater processing power of quantum systems is now considered crucial for unlocking new value in areas like forecasting, optimization, and decision intelligence.

This internal validation process aims to refine solutions and accelerate their practical application. The investment extends beyond infrastructure; EY is bolstering its ability to identify where quantum computing can deliver measurable results, as demonstrated by recent quantum patent filings. Biren Agnihotri, EY Canada Chief Technology Officer, adds, “This announcement shifts the conversation on quantum computing from concept to practical use for clients across markets.” A recent case study highlights how EY transforms Earth data into business insights using these advanced technologies, showcasing a tangible application beyond theoretical possibilities.

AI may be the defining technology platform of this decade, and quantum will ultimately expand its horizons, creating entirely new opportunities for business and society.

Biren Agnihotri, EY Canada Chief Technology Officer

EY’s strategy of internal validation is proving instrumental in refining quantum computing applications beyond theoretical exploration. Rather than solely focusing on external client projects, the firm is rigorously developing and testing solutions within its own operations, accelerating the path to practical deployment.

A recent example involves Xoople, where EY transformed Earth data into actionable business insights, demonstrating a concrete application of this emerging technology. Joe Depa, EY Global Chief Innovation Officer, emphasizes the importance of responsible implementation, stating, “The real power of quantum will be in pairing breakthrough capability with responsible use.” This internal testing phase is designed to validate solutions and prepare them for client deployment, ensuring they meet stringent requirements.

AI changes how work gets done, while quantum may change what’s possible.

Joe Depa, EY Global Chief Innovation Officer

The convergence of quantum computing and artificial intelligence is rapidly moving from theoretical possibility to practical application, with professional services firm EY investing heavily to accelerate this transition for its clients. Beyond exploratory projects, EY has deployed on-site quantum computing capabilities, signaling a commitment exceeding US$3 billion in AI and related technologies. Central to this effort are EY Studio+ and ey. ai, internal teams focused on translating quantum innovation into tangible results.

The firm’s “Client Zero” approach involves rigorous internal testing of quantum-enabled solutions before offering them externally, a process designed to refine performance and accelerate deployment. EY teams are actively identifying specific business challenges where quantum computing can deliver measurable improvements, moving beyond generalized potential.

The real power of quantum will be in pairing breakthrough capability with responsible use.

Joe Depa, EY Global Chief Innovation Officer
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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