In my recent conversations with enterprise CIOs and CISOs across Southeast Asia, quantum computing is still treated as an R&D curiosity that can be delayed to the next technology refresh cycle. That mindset creates immediate organizational exposure.

The security risks associated with the post-quantum transition are present today, driven by the reality of harvest-now-decrypt-later attacks. Threat actors are actively intercepting and storing encrypted enterprise communications, proprietary intellectual property, and critical national infrastructure telemetry. When a fault-tolerant quantum computer arrives, those encrypted caches will be decrypted retrospectively.

In a presentation at Tech Week SG 2026 by Joe Fitzsimons, founder and CEO of Singapore-based Horizon Quantum, the timeline that many technology leaders rely on was challenged by hard engineering metrics. Since commercial #quantum systems became cloud-accessible in 2016, physical qubit counts have doubled every eight to nine months. That is twice the historical cadence of Moore’s Law. More critically, error correction overhead has dropped from an estimated 1,000 physical qubits per logical qubit to fewer than 10. The timeline to cryptanalytically relevant quantum machines is compressing, which turns cryptographic modernization into an immediate balance sheet risk.

The Real Post-Quantum Cryptography Bottleneck

Migrating to Post-Quantum Cryptography (PQC) is not a simple patch deployment. It is an architectural overhaul that touches legacy ERPs, payment gateways, VPN endpoints, and third-party SaaS connections.

The primary exposure for technology buyers are in these three areas:

1. Cryptographic invisibility: Most enterprises lack a centralized inventory of their public-key algorithms, leaving security teams blind to which certificates, hardware security modules, and tokenization services rely on vulnerable RSA or elliptic-curve cryptography.
2. Performance penalties: Standardized PQC algorithms from NIST, such as ML-KEM and ML-DSA, carry larger key sizes and higher computational overhead. In latency-sensitive transactional environments, this will degrade throughput unless systems are re-architected.
3. Supply chain dependency: Even if your internal systems achieve cryptographic agility, your external vendor ecosystem remains vulnerable. SaaS partners that fail to remediate their public-key exposure will compromise shared operational data.

Security leaders cannot wait for regulatory mandates to begin cryptographic discovery. Organizations must identify every instance where public-key encryption protects data with a shelf life longer than five years, and build crypto-agile architectures capable of hot-swapping algorithms without disrupting core workflows.

Compiling Classical Code for Quantum Execution

While defensive teams must focus on encryption, technology teams looking at compute advantages face an equally difficult bottleneck – the software abstraction gap.

Hardware architectures remain fragmented across neutral atoms, trapped ions, and superconducting circuits, with no consolidated standard like x86. More critically, programming these devices has historically required writing low-level code gate by gate, forcing developers to act like 1940s electrical engineers rather than modern software architects.

This is why Horizon Quantum’s development approach matters to enterprise software strategy. Through its Triple Alpha environment and Beryllium programming language, Horizon is building a translation chain designed to decompose classical software and compile it directly for quantum processors. Instead of forcing enterprise engineers to master quantum mechanics, their toolchain analyzes classical functions, isolates compute-heavy iterative loops and recursive calls, and translates them into accelerated quantum instructions.

For enterprise technology buyers, this translation chain alters the quantum adoption model in three distinct ways:

• Separation of physics from business logic

Enterprise developers can write in familiar, high-level object-oriented constructs, while the compiler maps execution to the physical topology of the target hardware.

• Preservation of existing software investments

Organizations do not need to rewrite their operational logic from scratch. Compiling subroutines directly into quantum-compatible operations allows quantum chips to function as co-processors, directly parallel to how GPUs accelerate AI training pipelines.

• Vendor independence:

Compiling classical logic down to intermediate representations removes the operational risk of betting on a single, immature hardware modality.

Building Internal Competency Today

Waiting for complete hardware maturity before investing in quantum fluency is a strategic mistake. By the time quantum utility is widespread, organizations without baseline engineering readiness will spend years catching up on talent and architecture.

In my opinion, CIOs and CISOs should take three decisive actions over the next two quarters:

First, mandate an exhaustive cryptographic discovery audit. Identify all data assets that require confidentiality beyond 2030, prioritize systems using vulnerable public-key exchanges, and mandate cryptographic agility clauses in all upcoming vendor contract renewals.

Second, begin isolating high-friction algorithmic bottlenecks in classical production environments. Financial institutions running large-scale portfolio optimizations, logistics operators managing dense routing networks, and manufacturers simulating materials should benchmark the classical functions that consume the bulk of their high-performance computing budgets.

Third, treat quantum as an accelerator layer rather than a standalone platform. Leverage high-level abstraction frameworks and compiler environments to run hybrid experiments on cloud-accessible quantum hardware. The organizations that build their cryptographic defenses and software interfaces today will protect their operations while positioning themselves to capitalize on the next compute paradigm.