Horizon Quantum Computing, a Singapore-based developer of software tools for quantum computers, has named Greg Gould as its new chief financial officer (CFO).

Gould has over 35 years of experience in finance and technology.

He previously served as CFO at Groundspeed Analytics and FIT:MATCH.ai and held leadership roles at Corestate Capital and Quarters.

He started his career at Goldman Sachs, working on technology research and capital markets transactions, and holds a finance degree from MIT.

Founded in 2018, Horizon Quantum creates programming tools designed to make quantum computing more accessible to software developers.

🔗 Source: Horizon Quantum

🧠 Food for thought

1️⃣ Quantum software companies signal commercial readiness through strategic finance hires

Horizon Quantum’s appointment of Greg Gould as CFO reflects how quantum computing companies are transitioning from pure R&D to commercial operations.

Gould’s background includes overseeing more than $50 billion in financings at Goldman Sachs, including IPOs of major tech companies like Accenture and Mastercard1. His appointment specifically targets helping the company “transform into a public company,” according to CEO Joe Fitzsimons1.

This strategic hire comes as the quantum computing market is projected to reach $1.5 billion by 20262, suggesting that software-focused quantum companies are positioning themselves to capture this growth.

The timing aligns with broader industry momentum, as quantum computing giants like IBM have recently introduced processors with over 1,000 qubits, and companies are transitioning from experimental NISQ systems to more fault-tolerant quantum computing2.

2️⃣ Quantum software accessibility emerges as key competitive differentiator

Horizon Quantum’s focus on removing the need for prior quantum computing experience among developers positions it within a specific niche of the quantum ecosystem.

The company competes against hardware-focused giants like IBM, Google, and D-Wave Systems3, but differentiates by targeting regular software developers rather than quantum specialists.

This approach addresses a fundamental industry challenge: while quantum hardware advances rapidly, the specialized knowledge required to program quantum systems remains a significant barrier to adoption.