Detailed Supported Operations in fhEVM

Name	Function Name	Symbol	Type
Add	TFHE.add	+	Binary
Subtract	TFHE.sub	-	Binary
Multiply	TFHE.mul	*	Binary
Divide (plaintext divisor)	TFHE.div		Binary
Remainder (plaintext divisor)	TFHE.rem		Binary
Bitwise AND	TFHE.and	&	Binary
Bitwise OR	TFHE.or	|	Binary
Bitwise XOR	TFHE.xor	^	Binary
Shift Right	TFHE.shr		Binary
Shift Left	TFHE.shl		Binary
Rotate Right	TFHE.rotr		Binary
Rotate Left	TFHE.rotl		Binary
Equal	TFHE.eq		Binary
Not Equal	TFHE.ne		Binary
Greater Than or Equal	TFHE.ge		Binary
Greater Than	TFHE.gt		Binary
Less Than or Equal	TFHE.le		Binary
Less Than	TFHE.lt		Binary
Minimum	TFHE.min		Binary
Maximum	TFHE.max		Binary
Negate	TFHE.neg	-	Unary
Bitwise NOT	TFHE.not	~	Unary
Select	TFHE.select		Ternary
Random Unsigned Int	TFHE.randEuintX()		Random

Use Cases and Applications

1. Privacy-Preserving dApps

• Finance: Confidential portfolio management, fraud detection, and secure risk analytics.

• Healthcare: Privacy-preserving medical data analysis and encrypted patient record management.

• AI: Federated learning and secure on-chain model evaluation without exposing sensitive datasets.

2. Collaborative Encrypted Workflows

• Secure Multiparty Computations (SMC): Facilitate multi-party collaboration without revealing private inputs.

• Re-encryption: Transfer ciphertext ownership securely, enabling collaborative dApp functionalities.

3. Error-Resilient Encrypted Smart Contracts

• Contracts handle errors natively without exposing plaintext states, enhancing reliability.