Quantum Computing: Will It Kill Blockchain?

Are you a blockchain developer trying to build your new blockchain-based app? You are likely relying on the private key-public key encryption, cryptographic hash functions, and consensus algorithms like the ’Proof of Work‘ (POW) to secure your app.

However, all these security measures that the blockchain technology uses could become obsolete once quantum computers arrive on the scene. In this article, I examine if quantum computing will kill blockchain as we know it. You can then make an informed judgment about the security measure you should use in your system so that it remains secure in a post-quantum computing world.


Blockchain promises security as its‘ important value proposition
Just secure your private key to ensure the safety of your digital signature
Bitcoins‘ POW algorithm ensures no transaction goes through without validation
Cryptographic hash function and POW consensus prevents manipulating old transactions
Quantum computers can do what today‘s computers can‘t
Quantum physics gave birth to quantum computing concepts
Pros of quantum computing
How quantum computing impacts storing crypto data securely
Quantum resistant ledger: Responding to quantum blockchain data security threats
Addressing quantum computing blockchain challenges using quantum key
Quantum entanglement computing for blockchain quantum computing “marriage”
Blockchain communities need to be proactive

Blockchain promises security as its‘ important value proposition

The blockchain technology is increasingly popular due to two reasons:

  1. Public permission-less blockchain networks are decentralized, which allows disruption of centralized player. This enables creating new business models.
  2. Public blockchains promise immutable records and security of transactions.

Read “The promise of blockchain in the digital age” for a detailed view of these promises.

In this article, I focus on the immutable record and transaction security aspects. I will use the Bitcoin blockchain network to explain the subject. Blockchain offers security in the following manner:

  1. Users only need to secure their private key, and this prevents hackers from breaking their digital signatures and hijack their cryptocurrencies.
  2. Bitcoins and other cryptocurrencies are mathematical money, and to prevent malicious transactions, blockchains use consensus algorithms. This imposes validation requirements for transactions, hence no transaction gets into the ledger without validation.
  3. To prevent a malicious player from spending the same digital money twice, blockchain consensus algorithms also prevent tampering of any past transaction.

Read more about blockchains‘ security in “Blockchain security: What keeps your transaction data safe?”.

I will now explain how the Bitcoin blockchain network accomplishes these 3 objectives.

Just secure your private key to ensure the safety of your digital signature

Bitcoin users have a public key. It’s their blockchain address. If someone needs to send fund to them then he or she will send it to this address.

They also a private key, and they should guard it diligently. This secret should stay with them only, and they need to sign their Bitcoin transactions using this private key. If hackers get access to this, they will easily steal their Bitcoins. Read “Public Key and Private Keys” for more information.

Bitcoin uses a private key-public key data encryption method. The public key and the private key are linked to each other. It‘s very easy to generate the public key from the private key, but the converse is practically impossible!

This is because the private key is linked to the public key via integer factorization method. Take the example of the number 2,868. If I ask you to find the prime factors for this, you will break it down to 2,868 = 2x2x3x239. Hence, the prime factors are 2, 3, and 239. This was simple for you, and your computer will also solve it easily.

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What happens if you take an exceptionally large number? You will take a very long time, so will your computer. Private keys are linked with public keys via integer factorizations that use such exceptionally large numbers, that today’s computers will take hundreds of billions of years to crack it!

With today‘s computing resources, it‘s impossible to break private key-public key encryption. Read “Blockchain Cryptography” to know more about this.

Bitcoins‘ POW algorithm ensures no transaction goes through without validation

Each Bitcoin block has the transaction data, the cryptographic hash of the last block, miners‘ address, and the answer to a mathematical puzzle.

A computer algorithm creates a cryptographic hash of the content of the last block. It‘s a long alphanumeric string. Cryptographic hash functions are deterministic, i.e. same data will always produce the same hash.

However, even a minor change to the data produces an entirely different hash. It‘s also one-way, i.e. it‘s easy to produce the hash using a computer program, but incredibly hard to do the opposite! Read “Cryptographic Hash Function” to get an in-depth understanding.

Since each block has the hash of the previous block, effectively blocks are stacked one on top of another. This creates a chain, hence the name ’blockchain‘.

Bitcoin uses the POW consensus algorithm. Bitcoin nodes have users whom we call ’Miners‘, and they use very powerful computers, which often uses ’Graphics Processing Units‘ (GPUs) along with their CPU.

Miners validate transactions, which are initially grouped into a common pool called ’mempool‘. Miners take transactions from this and try to include them in the next available block. For that, they need to find the hash of the previous block.

However, they also need to solve a cryptographic puzzle, to find that answer I mentioned earlier. This requires no skill, but miners must keep trying one number after another, hence, they need powerful computers.

The miner that finds the answer broadcasts it in the network, and the other miners can easily verify it because it’s an asymmetric puzzle. Now our miner has created a new block and recorded the transactions from the mempool into it. Read more about it in “Proof of Work vs Proof of Stake Comparison”.

With today‘s computing technology, no hacker can overpower this decentralized network of miners, and manipulate blocks.

Cryptographic hash function and POW consensus prevents manipulating old transactions

Suppose hackers want to ’double-spend‘ and have identified a transaction in the existing 17th block of the Bitcoin blockchain. They need to do the following:

  1. Change that transaction in the 17th
  2. Find the answer to that cryptographic puzzle in the 17th block again.
  3. Since a change to the block changes the hash of it completely, turn to the 18th Change the 18th block to include the new hash of the 17th block.
  4. But, wait! Now our hackers need to solve the puzzle for the 18th block and change the 19th block to include the new hash of the 18th block!
  5. Subsequently, our hackers need to change the 20th block, 21st block, and all the way to the latest Bitcoin block!

You can see how hopelessly complex the situation has turned out for our hackers! Add to it another complexity! Bitcoin miners know that they should only accept blocks that have a very small hash, i.e. one with a lot of leading zeroes.

Now, it‘s extremely hard to find a very small hash, and satisfy the Bitcoin network miners, because it requires tremendous computing power. Besides, while our hackers are doing all of these, the entire decentralized Bitcoin network can see that someone or a group is changing the 17th block. The entire network is now on alert!

The fact is that with today‘s computing power, our hackers will find it impossible to cause a ’double-spend‘ in the Bitcoin blockchain. Consult “Blockchain Cryptography” for more information.

Quantum computers can do what today‘s computers can‘t

You can see that the Bitcoin blockchain achieves the three security objectives because today‘s computers have limited computing ability. This is because the current computing technology uses ’Bits‘, i.e. the smallest unit of storing information.

A ’Bit’ can only have a ’0′ or a ’1′ at any given point in time. The entire gamut of current computing algorithms is built on processing these ’0’s or ’1’s. Read more about ’Bits’, i.e. ’Binary Digits’, in this Computer Hope definition.

However, quantum computing, a technology currently in a research and development phase, doesn’t rely on ’Bits’. It uses ’Qubits’, i.e. ’Quantum Bits’. Qubits can hold a ’0′, a ’1′, and a superimposed state of both, all at the same time.

This creates a completely different computing paradigm, with significantly more computing power than today‘s classical computers. Read about Qubits in this TechTarget Qubit definition.

Before I start the quantum computing vs blockchain debate, I will explain the origin of quantum computing, starting with quantum physics.

Quantum physics gave birth to quantum computing concepts

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Quantum theory is a path-breaking theory in physics, and it evolved as follows:

  1. Physicist Max Planck in 1900 stated that energy has individual units like matters have particles. He named these units ’Quanta‘.
  2. Albert Einstein in 1905 added to it and declared that radiation also has quantifiable smaller units.
  3. Louis de Broglie stated in 1924 that at a fundamental level both matter and energy behave similarly, and this theory became known as the ’Principle of wave-particle duality‘.
  4. In 1927, Werner Heisenberg came up with the ’Uncertainty Principle‘. It states that if we try to precisely measure two complementary values, for e.g. position and momentum, of a subatomic particle, the very act of measurement of one will change the other.

Read this TechTarget definition of quantum theory, for more details.

Quantum computing utilizes the above concepts, i.e. a Qubit can have a ’0′, a ’1′, and a superimposed state of both, all at the same time. Note the application of wave-particle duality principle above. In a short while, I will explain how it also uses the ’Uncertainty principle‘.

Pros of quantum computing

This concept of superimposition frees quantum computers from the confines of linear equations. It can solve exponential equations, and this added processing power allows for significantly faster processing and needs less energy.

In the future, scientists will be able to use quantum computing and make massive advances in many fields, for e.g.:

  • Chemistry;
  • Applied Mathematics;
  • Biology;
  • Engineering;
  • Artificial Intelligence (AI);
  • Machine Learning (ML);
  • Big Data and Analytics.

Read more about quantum computing uses in “Blockchain and Quantum Computing”.

How quantum computing impacts storing crypto data securely

I had earlier explained how private key-public key data encryption secures digital signatures of Bitcoin users. It uses such exceptionally large numbers for prime factorization that classical computers can‘t practically break it.

However, that could change with the quantum computer. Peter Shor had introduced a polynomial-time quantum algorithm in 1995, which we now call ’Shor‘s algorithm‘.

It dramatically demonstrated how the new algorithm requires very less number of operations to solve a large prime factorization problem, compared to a classical algorithm. In effect, a powerful quantum computer running ’Shor‘s algorithm‘ could solve such a problem in a few days.

Compare this to hundreds of billions of years that classical computers would take to solve a similar problem! Read more about ’Shor‘s algorithm‘ in “Shor‘s algorithm”.

This can put today‘s private key-public key data encryption at risk. Don‘t lose your sleep immediately, though, because quantum computers aren‘t commercialized yet.

However, keep in mind that many organizations are seriously researching and developing this technology. For e.g., Google and IBM are already working on their quantum computers. If you want to read a few examples of their research, check out the IBM Quantum Experience website.

Quantum resistant ledger: Responding to quantum blockchain data security threats

Responses to the quantum threat to blockchain are coming up. For e.g., a blockchain project team has created “The Quantum Resistance Ledger” and intends to solve the digital signature-related threat.

The QRL project team implements a set of post-quantum secure data encryption algorithms. It’s called ’eXtended Merkle Signature Scheme’ (XMSS). It uses a ’One Time Signature’ (OTS), where you can sign only one transaction with one key.

This makes hackers with quantum computers irrelevant. There‘s no fixed private key for them to hack from a public key. Instead, the signature changes every time the user signs a new transaction.

The project team claims it’s a peer-reviewed algorithm, and they have launched their Mainnet. Read about their XMSS solution in the FAQ section of the QRL website.

Addressing quantum computing blockchain challenges using quantum key

In May 2017, researchers at the Russian Quantum Center developed a blockchain that they claim is safe from quantum computers. They did it by combining post-quantum cryptography with quantum key distribution (QKD).

In QKD, laser beams transmit cryptographic keys, and they use the quantum properties of photons for this. The photons have their quantum properties coded in binary ’0‘s and ’1‘s.

Remember the ’Uncertainty principle’ that Heisenberg had formulated? The very act of observing a subatomic particles’ property changes the property.

When hackers try to intercept the keys in transit, their snooping act changes the quantum properties, and makes those keys unusable! Read this techopedia definition of QKD for a deeper understanding of it.

Incidentally, QKD networks are already in use, to manage smart contracts. There are several such networks in the US, Europe, and China already functional. Read more about it in “Russian researchers develop ‘quantum-safe’ blockchain”.

Quantum entanglement computing for blockchain quantum computing “marriage”

Two researchers from the Victoria University of Wellington, New Zealand, suggest that blockchain can move beyond just using quantum cryptography. They propose quantum entanglement computing to create a new type of blockchain.

They propose to the use the entanglement concept from the quantum physics for this. Two entangled quantum particles share their existence, at a point in space and time when they interact with each other. From that point onwards, if you try to measure one, it will influence the other.

Del Rajan and Matt Visser, i.e. the two researchers plan to use this property. They plan to create blockchain where one quantum particle will encode the history of all its‘ predecessors. This follows that if our hackers try to hack a predecessor particle, their snooping act will destroy that particle.

This quantum networked blockchain will survive, though! Remember that the last particle in this blockchain has all predecessor particles‘ in it! Read about their proposal in “If quantum computers threaten blockchains, quantum blockchains could be the defense”.

Blockchain communities need to be proactive

It‘s clear that quantum computers will take some years before a commercial version comes in the market. Hence, blockchain networks and data encryption might be safe now. However, the blockchain ecosystem shouldn‘t underestimate the threat.

As you know, blockchain has attracted a lot of interest, and we may see many businesses and governments adopting it aggressively. Now, consider the impact of a sudden release of quantum computers, which will significantly reduce the security of blockchain immediately.

By that time, businesses, governments, and communities will have invested significant energy and resources to adopt blockchain. They will suddenly find that their investment doesn’t count for much! To avoid such an unpleasant scenario, blockchain communities should proactively address the threat of quantum computing.

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