Unlocking Quantum Potential: The Vision Behind 11/11 Language Development

Quantum computing promises to transform technology, but current tools fall short of what production systems require. Existing quantum software development kits (SDKs) focus on gate-level instructions rather than expressing the intent behind quantum operations. This gap limits trust, auditability and security in quantum applications. The 11/11 language was created to fill this void by providing a native way to describe what must be true in a quantum system, not just how to build it.

This post explores the vision behind 11/11, its architecture, and how it enables secure, auditable, and hybrid quantum-classical workflows. It is designed for investors, engineers, buyers and government readers interested in the future of quantum software.

Quantum circuit board showing complex connections

Why We Needed a New Quantum Language

Most quantum computing tools today are SDKs that instruct hardware which gates to apply. These tools lack a native way to express trust, audit, or post-quantum (PQ) security policies. They focus on wiring quantum gates rather than defining the intent behind computations.

Production quantum systems require code that expresses intent-level logic. This means describing what the system must guarantee, such as compliance with security policies or ensuring audit trails, rather than just specifying gate sequences.

The founder of 11/11 captured this vision clearly:

“11/11 was created to describe what must be true in a quantum system, not just which gates to apply.”

For example, a policy in 11/11 might look like this:

```plaintext

policy SovereignCompute {

audit on

pq_mode on algorithm: "Kyber+Dilithium"

}

```

This snippet declares that the system must enable auditing and use specific post-quantum algorithms, something impossible to express in traditional quantum SDKs.

11/11 Language Architecture: Circuits, Policies and Flows

The 11/11 language is designed with three distinct layers that work together to provide clarity and control without overwhelming users:

• Circuit layer

This layer handles pure quantum operations, similar to existing quantum languages but integrated into a broader system.

• Policy layer

This layer defines security, compliance and trust policies. It ensures that quantum code adheres to required standards and enables auditability.

• Flow layer

This layer orchestrates execution and verification, combining quantum circuits and policies into hybrid workflows.

The architecture can be visualized as follows:

```

[ 11/11 Source ]

|

v

[ Circuit IR ] ---> OpenQASM / Qiskit

[ Policy IR ] ---> Runtime / Audit / PQ

[ Flow IR ] ---> Orchestrator / CLI

```

Each intermediate representation (IR) targets different components of the quantum stack, enabling portability and integration with existing tools.

Hello Quantum Trust: Writing Secure-by-Design Quantum Code

Security in quantum computing is often an afterthought, added after code execution. 11/11 flips this by declaring security before execution. This approach allows systems to verify compliance and trustworthiness upfront.

Here is an example of a secure flow in 11/11:

```plaintext

flow SecureRun {

use policy SovereignCompute

run circuit BellPair shots: 2048 as out

assert entropy(out) > 0.95

}

```

This flow uses the SovereignCompute policy, runs a Bell pair circuit with 2048 shots and asserts that the output entropy exceeds 0.95. This assertion ensures the quantum randomness meets security standards before proceeding.

This design makes quantum code secure by design, not by patchwork.

Quantum computer control panel showing policy configuration

11/11 Compared to Existing Quantum Languages

Understanding how 11/11 differs from current quantum languages helps clarify its value for buyers and engineers:

Feature Comparison: Python SDKs vs OpenQASM vs 11/11

1. Human-Readable Intent

• Python SDKs: ⚠️ Limited - intent is buried inside SDK objects and abstractions

• OpenQASM: ❌ No - ow-level, assembly-style circuit description

• 11/11: ✅ Yes - code expresses what must happen, not just gate wiring

  
  

2. Security Policies (Native)

• Python SDKs: ❌ No - security handled outside the language

• OpenQASM: ❌ No - no concept of policy or trust

• 11/11: ✅ Yes - security, PQ mode and trust zones are first-class constructs

  
  

3. Hybrid Workflows (Quantum plus Classical)

• Python SDKs: ⚠️ Partial - possible, but managed manually in application code

• OpenQASM: ❌ No - quantum-only, no orchestration layer

• 11/11: ✅ Yes - hybrid execution is built into the language design

  
  

4. Auditability

• Python SDKs: ❌ No - no native audit or execution trace semantics

• OpenQASM: ❌ No - produces circuits, not compliance artifacts

• 11/11: ✅ Yes - auditable flows and execution metadata are language-level features

  
  

5. Backend Portability

• Python SDKs: ⚠️ Limited - often tied to vendor-specific runtimes

• OpenQASM: ✅ Yes - hardware-agnostic circuit representation

• 11/11: ✅ Yes - compiles to OpenQASM and SDK backends without rewrite

11/11 stands out by combining human-readable intent with built-in security policies and auditability. It supports hybrid quantum-classical workflows and works across different backends.

Quantum and Classical: Why Hybrid Code Is the Future

Quantum computing alone is not the product. Verified outcomes that combine quantum and classical processing are what production systems need. 11/11 supports hybrid workflows that integrate quantum circuits with classical verification and logging.

For example:

```plaintext

flow HybridProof {

run circuit QRand1 shots: 512 as r

verify randomness(r)

store hash(r) in audit_log

}

```

This flow runs a quantum random number generator, verifies the randomness classically and stores a hash in an audit log. Such hybrid workflows ensure trust and traceability in quantum applications.

Hybrid quantum-classical computing setup with connected devices

11/11 as an Intermediate Representation, Not Just a Language

Beyond being a language, 11/11 serves as an intermediate representation (IR) that bridges quantum circuits, policies and flows. This design strengthens intellectual property by enabling:

• Clear separation of concerns

• Portability across hardware and software stacks

• Integration with runtime environments for audit and security

• Orchestration of complex workflows with verification steps

  
  

This IR approach makes 11/11 a foundational tool for building trustworthy quantum systems.

The 11/11 language addresses critical gaps in quantum software by focusing on intent, security and hybrid workflows. It enables developers and organizations to build quantum applications that are auditable, secure and portable. As quantum computing moves from research to production, tools like 11/11 will be essential for unlocking its full potential.