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      We support financial institutions in their quantum journey through a simulated quantum approach. Through Quantum Finance Industry Experimentation (Q-FINEX) as a platform, we bring a business challenge to a scaled, operational quantum solution, powered by the combined capabilities of GFTN (platform initiator and orchestrator), The University of Western Australia’s Quantum Information, Simulation and Algorithms (UWA QUISA) research group (research and validation), and ST Engineering (engineering and implementation).

      GFTN created this testbed initiative to bring together three critical enablers: a global network of experts facilitating the gathering of use cases, specialised research capability, and a proven implementation partner. It provides a structured approach for finance teams to evaluate and compare classical, simulated, hybrid. and quantum-ready approaches grounded in data.

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      Journey of Quantum Development 

      Discover the journey of quantum development and how it has evolved into today's early machines, to industry-shifting breakthroughs by the 2030s, and a quantum-connected world beyond 2040.

      2019

      Google Sycamore - 53 qubits

      First beyond-classical demonstration
      2021

      IBM Eagle - 127 qubits

      First processor past 100 qubits
      2022

      IBM Osprey - 433 qubits

      Largest single chip at the time
      2023

      IBM Condor - 1,121 qubits

      Research only, industry pivots to quality. Focus has shifted to logical, error-corrected qubits
      Low Quantum Threat: Ideal preparation period

      2019

      First beyond-classical demonstration

      2021

      First processor past 100 qubits

      2022

      Largest single chip at the time

      2023

      Largest research chip yet; quality becomes the new benchmark
      Quantum Threat Amplification

      2029

      Largely error-corrected qubit-systems with proven useful applications and demonstrated over performance over classical computers
      High Quantum Threat

      2035 and beyond

      1 million+ qubits: long-term horizon target
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      What you care aboux t Classical approaches (today) What Q-FINEX adds Why it matters
      Decision confidence Mature methods yield reliable outputs. Evaluates your models against hybrid and quantum-inspired techniques. See where classical already dominates, and where new methods are worth testing.
      Speed & scale Strong, but large problems can bottleneck fast. Looks at optimisation and sampling challenges where hybrid methods may assist. Even marginal improvements can translate to major institutional gains.
      Risk & governance Well-controlled, but rigid in experimentation. Provides benchmarking, documentation, and recommendation packs. Test safely, without early production commitment.
      Future readiness Incremental progression of existing tools. Prepare quantum-ready solutions and repeatable specifications for future use. Your models stay compatible with tomorrow’s hardware and software.

      GFTN Quantum Work Focus

      There are 4 key quantum domains. The main focus for GFTN is on Quantum Computing and Quantum Security.

        Quantum Domain
        Purpose
        Financial Services Examples
        Lead Partner(s)
        Q-FINEX Role
      QUANTUM COMPUTING
      		 Solve complex computational problems using quantum algorithms Portfolio optimization, Monte Carlo simulations, risk analytics, derivatives pricing, fraud detection GFTN, UWA QUISA (research & algorithms), GFTN (industry use cases), ST Engineering (PoC & implementation) Core focus
      QUANTUM SECURITY
      		 Protect systems against future quantum attacks Post-Quantum Cryptography (PQC), Quantum Key Distribution (QKD), crypto migration, digital identity GFTN, ST Engineering Supporting capability
      QUANTUM COMMUNICATIONS
      		 Secure transmission of information using quantum technologies Quantum-safe networks, secure financial communications, satellite QKD GFTN, ST Engineering Future capability
      QUANTUM SENSING
      		 Ultra-precise measurement and sensing Limited direct financial applications today GFTN, UWA QUISA (research) Monitor developments
      Image of color atoms and electrons. Physics concept
      Quantum Computing — Core focus

      Purpose: Solves complex computational problems using quantum algorithms

      Financial Services Examples: Portfolio optimisation, Monte Carlo simulations, risk analytics, derivatives pricing, fraud detection

      Lead Partner(s):  GFTN (industry use-cases), UWA QUISA (research & algorithms), ST Engineering (PoC & implementation) 

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      Quantum Security — Supporting capability

      Purpose: Protects systems against future quantum attacks

      Financial Services Examples: Post-Quantum Cryptography (PQC), Quantum Key Distribution (QKD), cryptographic migration, digital identity

      Lead Partners: GFTN, ST Engineering

       

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      Quantum Communications – Future capability

      Purpose: Secure transmission of information using quantum technologies

      Financial Services Examples: Quantum-safe networks, secure financial communications, satellite QKD

      Lead Partner(s): GFTN, ST Engineering

       

       

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      Quantum Sensing – Monitor developments

      Purpose: Ultra=precise measurement and sensing

      Financial Services Examples: Limited direct financial applications today

      Lead Partner(s): GFTN, UWA QUISA (research) 

       

       

      The Q-FINEX Engagement Journey

      With the understanding that no two organisations are the same, every financial institution we engage with enters at the point that matches where they are today. Two separate pathways are created to accommodate institutions that are new to quantum, and institutions that are quantum-ready.

       

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      Why Participate In Q-FINEX

      Explore practical quantum options
      Structured approach to real financial challenges

      Work with emerging talent
      Supervised groups trained in applied quantum algorithms

      Plan for the future
      Reviews and evaluations to guide investment and capability development

      Connect globally
      Selected work may be shared at GFTN Forums with industry and policy leaders

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      What You'll Receive

      For each selected use case, you will get a tailored package that may adequately include one or more of the following: 

      Prototype for testing
      Model definition, classical baseline, hybrid test setup, and runnable environment.

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      How Q-FINEX Can Support You


      Ideal Use Cases

      • Portfolio optimisation, liquidity or treasury management
      • Collateral allocation or scheduling
      • Risk scenario generation or Monte Carlo sampling
      • Pricing and calibration challenges
      • PQC transition planning (optional track)

      Have an idea for a quantum use case?

      Contact us for a workshop or meeting to assess fit, scope, and timeline. 

      Frequently Asked Questions

      In most cases, no. Classical approaches remain dominant for practical applications. Q‑FINEX helps you explore whether quantum or hybrid methods might add value and provides realistic, evidence-based recommendations for next steps tailored to your specific use case. Quantum advantage is not guaranteed and strongly depends on the structure and complexity of the problem.


      Not yet for most practical applications. Current quantum systems only outperform classical machines in very specific benchmarks. However, hybrid and quantum-inspired approaches are beginning to show benefits in modelling and scalability, which may pave the way for future improvements.


      You’ll receive a prototype to review and a concise decision memo to help guide your evaluation. These are exploratory and not intended for production use.