K4 Programming Language
The Future of Computing
Quantum-Ready. AI-Integrated. Distributed by Design.
// K4 Hello Quantum World
quantum Bell {
let qreg = QuantumRegister(2);
H(qreg[0]);
CNOT(qreg[0], qreg[1]);
let result = measure(qreg);
println("Bell state: {}", result);
}Revolutionary Features
Quantum Computing
Built-in support for quantum computing primitives, making it easy to write and execute quantum algorithms.
AI Integration
Native interfaces for machine learning models and AI systems, seamlessly integrated into the language.
Distributed Computing
First-class support for distributed systems and cloud computing, making it easy to scale your applications.
Enhanced Safety
Advanced type system with formal verification capabilities, ensuring your code is correct by construction.
Extreme Performance
Optimized for both traditional and specialized hardware, delivering unparalleled performance.
Seamless Interoperability
Easy integration with K2, K3, and other languages, making it simple to adopt K4 in existing projects.
Quantum Computing
K4 makes quantum computing accessible to everyone. With built-in support for quantum primitives, you can write and execute quantum algorithms without leaving the language.
- Built-in quantum types and operations
- Quantum circuit visualization
- Integration with quantum simulators and hardware
- Support for quantum algorithms like Shor's and Grover's
- Quantum-classical hybrid computing
// Quantum Fourier Transform
quantum QFT(qreg: QuantumRegister) {
let n = qreg.size();
for i in 0..n {
H(qreg[i]);
for j in (i+1)..n {
// Controlled phase rotation
CP(PI / (2^(j-i)), qreg[i], qreg[j]);
}
}
// Swap qubits
for i in 0..(n/2) {
swap(qreg[i], qreg[n-i-1]);
}
}AI Integration
// Neural network in K4
let model = AIModel::NeuralNetwork {
layers: [
Dense(784, 128, activation: "relu"),
Dense(128, 64, activation: "relu"),
Dense(64, 10, activation: "softmax")
]
};
// Train the model
model.train(train_data, train_labels, {
epochs: 10,
batch_size: 32,
learning_rate: 0.001
});
// Make predictions
let predictions = model.predict(test_data);K4 makes AI development simpler and more intuitive with native support for machine learning and AI systems.
- Built-in neural network primitives
- Integration with popular AI frameworks
- Support for training and inference
- Automatic differentiation
- Hardware acceleration for AI workloads
Distributed Computing
K4 makes distributed computing a first-class citizen, allowing you to write distributed systems with ease.
- Built-in distributed primitives
- Automatic fault tolerance
- Distributed data structures
- Seamless scaling from local to cloud
- Integration with popular distributed systems
// Distributed MapReduce in K4
distributed MapReduce {
nodes: ["node1", "node2", "node3", "node4"],
fn map(data: [int]) -> [(str, int)] {
// Count word occurrences
let counts = {};
for item in data {
let word = item.to_string();
counts[word] = (counts[word] || 0) + 1;
}
[(word, count) for word, count in counts]
}
fn reduce(mapped: [[(str, int)]]) -> [(str, int)] {
let combined = {};
for node_data in mapped {
for (word, count) in node_data {
combined[word] = (combined[word] || 0) + count;
}
}
[(word, count) for word, count in combined]
}
}Get Started with K4
K4 is currently in early development. You can download the preview version or build from source.