2026-07-26

QCi, Quantinuum Appoint New Execs to Drive Revenue

Quantum Computing Inc. hires Susan Hunt as CRO from Salesforce, while Quantinuum creates a Chief Product Officer role to accelerate enterprise adoption of trapped-ion systems.

QCi and Quantinuum’s executive hires signal a shift from lab to market, but revenue growth still hinges on delivering verifiable quantum advantage at scale.

— BrunoSan Quantum Intelligence · 2026-07-26
· 5 min read · 1100 words
quantum computingQCiQuantinuumexecutive appointments2026

Quantum Computing Inc. (QCi) named Susan Hunt as Chief Revenue Officer on July 25, 2026, poaching a veteran enterprise sales leader from the AI and cloud sectors. Hunt, who previously held executive roles at Salesforce, Nuance Communications, and Orbital Insight, will oversee all go-to-market functions for QCi’s entropy quantum computing hardware and software. Simultaneously, former CRO Pouya Dianat transitions to Chief Strategy Officer, a move the company says will sharpen its long-term partnership and market-expansion efforts.

Separately, Quantinuum announced the creation of a Chief Product Officer position, appointing Dr. Elena Vasquez, formerly of IBM Quantum, to lead product strategy for its trapped-ion quantum computers and middleware. The dual announcements signal a maturation phase for quantum computing companies, shifting focus from pure R&D to revenue generation and product-market fit.

What They’re Actually Building

QCi markets a distinct architecture called entropy quantum computing (EQC). Unlike gate-based superconducting or trapped-ion systems, EQC leverages nanophotonic chips that solve optimization problems by naturally evolving toward low-energy states. The company claims its latest 2048-qubit entropy processor, Dirac-3, can tackle logistics and financial portfolio optimization with lower power consumption than classical solvers. However, independent benchmarks remain sparse, and the system is not a universal quantum computer—it targets specific optimization workloads.

Quantinuum, by contrast, builds universal, fault-tolerant quantum computers using trapped ytterbium ions. Its H-Series machines reached 56 physical qubits with a two-qubit gate fidelity of 99.8% in 2025, and the company plans to scale to hundreds of logical qubits by 2028 via its “racetrack” architecture. Quantinuum’s software stack, TKET, is hardware-agnostic and widely used for circuit optimization. Both companies are chasing enterprise clients, but their technical approaches and maturity levels differ sharply.

Winners and Losers

Hunt’s appointment directly threatens IonQ and Rigetti, both of which are also vying for early enterprise contracts in optimization and machine learning. IonQ’s trapped-ion systems compete with Quantinuum’s, while Rigetti’s superconducting chips overlap with QCi’s optimization pitch. Hunt’s Rolodex from Salesforce and LivePerson could accelerate QCi’s sales cycles, potentially squeezing smaller quantum software startups like QC Ware and Zapata Computing that rely on consulting-led growth.

Quantinuum’s new CPO role signals it will package its hardware and middleware into more turnkey solutions, a move that could pressure IBM’s quantum cloud services. IBM’s Qiskit ecosystem remains dominant, but Quantinuum’s integrated approach—combining high-fidelity hardware with TKET—may appeal to enterprises seeking a single vendor. The broader quantum cloud market, projected to reach $2.2 billion by 2027, will likely see intensified pricing and performance battles.

The Bigger Picture

These appointments come as the quantum computing industry enters a “show me the revenue” phase. After years of venture funding and SPAC mergers, public and late-stage private companies face pressure to demonstrate commercial traction. QCi’s stock (NASDAQ: QUBT) has been volatile, and hiring a CRO with enterprise SaaS experience is a clear attempt to stabilize recurring revenue. Quantinuum, still private but valued at $5 billion in its last round, is building out product management to avoid the “science project” trap that has plagued hardware-first startups.

Government investment continues to underpin the sector. The U.S. CHIPS Act and the EU Quantum Flagship have allocated over $15 billion combined through 2030, but procurement cycles are slow. In 2026, the most credible milestones are not qubit counts but signed enterprise contracts. For context, IonQ reported $43 million in revenue in 2025, while Rigetti posted $18 million. QCi and Quantinuum need to show they can join—or exceed—that tier.

The Signal

The signal here is that quantum computing companies are importing talent from mature enterprise software markets, not just from physics labs. Hunt’s track record at Salesforce and Nuance suggests QCi will prioritize subscription-based pricing and industry-specific solutions over pure technology sales. Quantinuum’s CPO hire indicates a similar product-led strategy. The real test will be whether these executives can translate quantum’s technical promise into contracts that solve problems classical computers cannot—or at least solve them more cheaply. Until a clear quantum advantage for business workloads is demonstrated and independently verified, these moves are necessary but not sufficient. The next 18 months will reveal whether the revenue leaders can close the gap between PowerPoint and production.

“In short: QCi and Quantinuum’s executive hires signal a shift from lab to market, but revenue growth still hinges on delivering verifiable quantum advantage at scale.”

FAQ

Q: What does Quantum Computing Inc. (QCi) do?
QCi builds entropy quantum computers—special-purpose photonic systems designed to solve complex optimization problems. Its flagship product, the Dirac-3, uses 2,048 qubits to find low-energy solutions for logistics, finance, and drug discovery. The company also offers a quantum cybersecurity solution and a cloud-based access model.

Q: How does Quantinuum’s trapped-ion technology compare to IBM’s superconducting qubits?
Quantinuum’s trapped-ion qubits have higher gate fidelities (99.8% vs. IBM’s ~99.9% for two-qubit gates as of 2025) and longer coherence times, but IBM’s superconducting systems scale to larger qubit counts faster. IBM targets 100,000 qubits by 2033; Quantinuum focuses on error-corrected logical qubits, aiming for hundreds by 2028. The choice depends on whether an enterprise prioritizes raw qubit volume or per-qubit quality.

Q: Is quantum computing ready for enterprise use?
Not for general-purpose computing. Current systems are noisy and error-prone. However, for specific optimization and simulation tasks, early adopters like DHL, JPMorgan, and Airbus are running pilot programs. Most production workloads still run on classical hardware, with quantum used as an accelerator. Analysts expect narrow quantum advantage in niche areas by 2027–2028.

Q: What is QCi’s business model?
QCi sells its entropy quantum computers as on-premises appliances and offers cloud access via a subscription model. It also generates revenue from consulting and custom algorithm development. The company reported $1.2 million in revenue in 2025, with a goal to reach $10 million by 2027 through enterprise licensing deals.

Q: What quantum computing milestones matter most in 2026?
Investors are watching for: (1) a demonstration of quantum advantage on a commercially relevant problem, (2) the first error-corrected logical qubit that outperforms physical qubits, and (3) enterprise contracts exceeding $5 million annually. Government certifications for quantum-safe encryption and the launch of hybrid quantum-classical cloud services also rank high.

Frequently Asked Questions

What does Quantum Computing Inc. (QCi) do?
QCi builds entropy quantum computers—special-purpose photonic systems designed to solve complex optimization problems. Its flagship product, the Dirac-3, uses 2,048 qubits to find low-energy solutions for logistics, finance, and drug discovery. The company also offers a quantum cybersecurity solution and a cloud-based access model.
How does Quantinuum’s trapped-ion technology compare to IBM’s superconducting qubits?
Quantinuum’s trapped-ion qubits have higher gate fidelities (99.8% vs. IBM’s ~99.9% for two-qubit gates as of 2025) and longer coherence times, but IBM’s superconducting systems scale to larger qubit counts faster. IBM targets 100,000 qubits by 2033; Quantinuum focuses on error-corrected logical qubits, aiming for hundreds by 2028. The choice depends on whether an enterprise prioritizes raw qubit volume or per-qubit quality.
Is quantum computing ready for enterprise use?
Not for general-purpose computing. Current systems are noisy and error-prone. However, for specific optimization and simulation tasks, early adopters like DHL, JPMorgan, and Airbus are running pilot programs. Most production workloads still run on classical hardware, with quantum used as an accelerator. Analysts expect narrow quantum advantage in niche areas by 2027–2028.
What is QCi’s business model?
QCi sells its entropy quantum computers as on-premises appliances and offers cloud access via a subscription model. It also generates revenue from consulting and custom algorithm development. The company reported $1.2 million in revenue in 2025, with a goal to reach $10 million by 2027 through enterprise licensing deals.
What quantum computing milestones matter most in 2026?
Investors are watching for: (1) a demonstration of quantum advantage on a commercially relevant problem, (2) the first error-corrected logical qubit that outperforms physical qubits, and (3) enterprise contracts exceeding $5 million annually. Government certifications for quantum-safe encryption and the launch of hybrid quantum-classical cloud services also rank high.

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