November 5, 2025

Quantum Computing: Foundation for the Future

Quantum computing is a groundbreaking approach to computation that harnesses the laws of quantum mechanics to process information, specifically superposition and entanglement. Unlike classical bits that can represent either a 0 or 1, quantum bits (qubits) can exist as both simultaneously. This enables quantum computers to evaluate vast numbers of possibilities in parallel, giving them the potential to solve problems that are currently infeasible for traditional systems. Although the science behind quantum mechanics dates back over a century, practical efforts to build quantum computers began in the 1990s. Momentum accelerated in the 2010s with advancements from IBM, Google, and various academic research groups. In 2019, Google achieved “quantum supremacy” by performing a calculation faster than a classical supercomputer. Today, we are in the “noisy intermediate-scale quantum” (NISQ) era—systems are still small, fragile, and experimental, but improving rapidly. Most experts forecast commercial-scale applications emerging in the early 2030s.

Quantum computers manipulate qubits through quantum gates that exploit interference and entanglement. These properties make them exceptionally powerful for exploring massive solution spaces or simulating natural systems governed by quantum physics. The issue is that qubits are extremely sensitive to their environment, so most systems must operate in ultra-cold, controlled environments and are accessed through the cloud on platforms such as IBM Quantum or Amazon Braket. Building or owning a quantum computer remains extraordinarily expensive often in the neighborhood of tens to hundreds of millions of dollars. Fortunately, organizations can experiment via quantum computing-as-a-service(QCaaS) offerings, which provide pay-as-you-go access for a fraction of that cost. This QCaaS offering makes it possible for companies, universities, and startups to run pilot projects and prototype quantum algorithms without the heavy infrastructure burden.

Quantum computing is not designed to replace classical computing—it’s meant to accelerate specific problem types where traditional systems struggle. Promising early applications include:

  • Optimization problems: Portfolio optimization in finance, supply chain routing, and energy grid management.
  • Drug discovery and chemistry: Simulating molecular structures and chemical reactions to speed up pharmaceutical research and materials science.
  • Cryptography and cybersecurity: Developing new quantum-safe encryption standards and, in the long term, factoring large numbers to test the resilience of classical cryptosystems.
  • Machine learning acceleration: Enhancing model training and optimization through quantum-assisted algorithms.
  • Climate and physics modeling: Running complex simulations of natural systems that require massive computational power.

These use cases illustrate areas where quantum’s parallel processing power can produce exponential improvements once hardware matures.

Despite its promise, quantum computing faces several obstacles. Qubits are prone to errors due to decoherence, making it difficult to maintain stability over long computations. Error correction techniques are improving but remain resource-intensive. Additionally, the technology could one day undermine current encryption methods, creating long-term security challenges. Finally, the field suffers from a shortage of quantum-literate talent and standardized software tools. This is a potential opportunity for forward leaning organizations that enjoy embracing leading edge technology.

Many organizations struggle with how best to adopt and operationalize quantum computing capabilities. Adoption should follow a measured approach beginning with fostering quantum awareness through training and internal education. Identifying high-impact use cases aligned with strategic goals and engage with cloud-based quantum platforms to experiment at low cost. Partnering with universities, technology providers, or government consortia to share knowledge and reduce risk. Importantly, building a quantum-ready IT environment which requires modernized infrastructure, strengthened encryption, and ability to monitor developments closely to integrate quantum capabilities as they mature.